├── .github └── workflows │ └── main.yml ├── .gitignore ├── CHANGELOG.md ├── CONTRIBUTING.md ├── LICENSE.md ├── README.md ├── docs ├── changelog.md ├── contributing.md ├── documentation │ ├── Makefile │ ├── _build │ │ ├── .buildinfo │ │ ├── .doctrees │ │ │ ├── autoapi │ │ │ │ ├── BaseConstraints │ │ │ │ │ └── index.doctree │ │ │ │ ├── base_solvers │ │ │ │ │ ├── base_BB │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── base_lahc │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── base_sa │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── base_solver │ │ │ │ │ │ └── index.doctree │ │ │ │ │ └── index.doctree │ │ │ │ ├── benchmark │ │ │ │ │ └── index.doctree │ │ │ │ ├── index.doctree │ │ │ │ ├── listeners │ │ │ │ │ ├── BaseListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── CSVListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FileListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── PlotListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ └── index.doctree │ │ │ │ └── pyscheduling │ │ │ │ │ ├── FS │ │ │ │ │ ├── FlowShop │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmSijkCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmriSijkCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmriSijkwiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmriSijkwiFi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── FmridiSijkwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── csp │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── dispatch_rule │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── index.doctree │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── minit │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── sa │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JS │ │ │ │ │ ├── Constraints │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmriSijkCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmriSijkwiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmriSijkwiFi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmridiSijkwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JmriwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── JobShop │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── PMSP │ │ │ │ │ ├── ParallelMachines │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── RmSijkCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── RmriSijkCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── RmriSijkWiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── RmriSijkWiFi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── RmridiSijkWiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ ├── interface │ │ │ │ │ │ └── index.doctree │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── ant_colony │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── genetic_algorithm │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── index.doctree │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── ordered_constructive │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── sa │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── Problem │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── SMSP │ │ │ │ │ ├── Constraints │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── SingleMachine │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ ├── interface │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── riPrecLmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── rihiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── risijCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── risijwiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── risijwiFi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── risijwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── riwiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── riwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── sijCmax │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── sijwiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── csp │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── dynamic_dispatch_heuristic │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── index.doctree │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── sa │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── wiCi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ └── wiTi │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── core │ │ │ │ │ ├── BaseConstraints │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── base_solvers │ │ │ │ │ │ ├── base_BB │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── base_lahc │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── base_sa │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── base_solver │ │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── benchmark │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ └── listeners │ │ │ │ │ │ ├── BaseListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── CSVListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── FileListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ ├── PlotListener │ │ │ │ │ │ └── index.doctree │ │ │ │ │ │ └── index.doctree │ │ │ │ │ ├── index.doctree │ │ │ │ │ └── pyscheduling │ │ │ │ │ └── index.doctree │ │ │ ├── environment.pickle │ │ │ ├── examples │ │ │ │ ├── FS_example.doctree │ │ │ │ ├── JS_example.doctree │ │ │ │ ├── PMSP_example.doctree │ │ │ │ ├── SMSP_Interface_example.doctree │ │ │ │ ├── SMSP_example.doctree │ │ │ │ └── benchmark_example.doctree │ │ │ ├── getting_started.doctree │ │ │ ├── index.doctree │ │ │ ├── nbsphinx │ │ │ │ └── examples │ │ │ │ │ ├── FS_example.ipynb │ │ │ │ │ ├── JS_example.ipynb │ │ │ │ │ ├── PMSP_example.ipynb │ │ │ │ │ ├── SMSP_Interface_example.ipynb │ │ │ │ │ ├── SMSP_example.ipynb │ │ │ │ │ └── benchmark_example.ipynb │ │ │ └── samples.doctree │ │ ├── _images │ │ │ ├── api.svg │ │ │ ├── getting_started.svg │ │ │ └── samples.svg │ │ ├── _panels_static │ │ │ ├── panels-bootstrap.5fd3999ee7762ccc51105388f4a9d115.css │ │ │ ├── panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css │ │ │ └── panels-variables.06eb56fa6e07937060861dad626602ad.css │ │ ├── _sources │ │ │ ├── autoapi │ │ │ │ ├── BaseConstraints │ │ │ │ │ └── index.rst.txt │ │ │ │ ├── base_solvers │ │ │ │ │ ├── base_BB │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── base_lahc │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── base_sa │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── base_solver │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ └── index.rst.txt │ │ │ │ ├── benchmark │ │ │ │ │ └── index.rst.txt │ │ │ │ ├── index.rst.txt │ │ │ │ ├── listeners │ │ │ │ │ ├── BaseListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── CSVListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FileListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── PlotListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ └── index.rst.txt │ │ │ │ └── pyscheduling │ │ │ │ │ ├── FS │ │ │ │ │ ├── FlowShop │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmSijkCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmriSijkCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmriSijkwiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmriSijkwiFi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── FmridiSijkwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── csp │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── dispatch_rule │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── minit │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── sa │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JS │ │ │ │ │ ├── Constraints │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmriSijkCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmriSijkwiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmriSijkwiFi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmridiSijkwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JmriwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── JobShop │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── PMSP │ │ │ │ │ ├── ParallelMachines │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── RmSijkCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── RmriSijkCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── RmriSijkWiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── RmriSijkWiFi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── RmridiSijkWiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ ├── interface │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ └── solvers │ │ │ │ │ │ ├── ant_colony │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── genetic_algorithm │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── ordered_constructive │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── sa │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── Problem │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── SMSP │ │ │ │ │ ├── Constraints │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── SingleMachine │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ ├── interface │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── riPrecLmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── rihiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── risijCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── risijwiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── risijwiFi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── risijwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── riwiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── riwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── sijCmax │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── sijwiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── solvers │ │ │ │ │ │ ├── biba │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── csp │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── dynamic_dispatch_heuristic │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── grasp │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ │ ├── lahc │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── sa │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── wiCi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ └── wiTi │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── core │ │ │ │ │ ├── BaseConstraints │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── base_solvers │ │ │ │ │ │ ├── base_BB │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── base_lahc │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── base_sa │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── base_solver │ │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── benchmark │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ └── listeners │ │ │ │ │ │ ├── BaseListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── CSVListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── FileListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ ├── PlotListener │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ │ └── index.rst.txt │ │ │ │ │ ├── index.rst.txt │ │ │ │ │ └── pyscheduling │ │ │ │ │ └── index.rst.txt │ │ │ ├── examples │ │ │ │ ├── FS_example.ipynb.txt │ │ │ │ ├── JS_example.ipynb.txt │ │ │ │ ├── PMSP_example.ipynb.txt │ │ │ │ ├── SMSP_Interface_example.ipynb.txt │ │ │ │ ├── SMSP_example.ipynb.txt │ │ │ │ └── benchmark_example.ipynb.txt │ │ │ ├── getting_started.rst.txt │ │ │ ├── index.rst.txt │ │ │ └── samples.rst.txt │ │ ├── _static │ │ │ ├── api.svg │ │ │ ├── basic.css │ │ │ ├── check-solid.svg │ │ │ ├── clipboard.min.js │ │ │ ├── copy-button.svg │ │ │ ├── copybutton.css │ │ │ ├── copybutton.js │ │ │ ├── copybutton_funcs.js │ │ │ ├── css │ │ │ │ └── pyscheduling.css │ │ │ ├── doctools.js │ │ │ ├── documentation_options.js │ │ │ ├── file.png │ │ │ ├── getting_started.svg │ │ │ ├── graphviz.css │ │ │ ├── jquery-3.5.1.js │ │ │ ├── jquery.js │ │ │ ├── language_data.js │ │ │ ├── minus.png │ │ │ ├── panels-bootstrap.5fd3999ee7762ccc51105388f4a9d115.css │ │ │ ├── panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css │ │ │ ├── panels-variables.06eb56fa6e07937060861dad626602ad.css │ │ │ ├── plus.png │ │ │ ├── pygments.css │ │ │ ├── pyscheduling_navbar.png │ │ │ ├── samples.svg │ │ │ ├── scripts │ │ │ │ └── pydata-sphinx-theme.js │ │ │ ├── searchtools.js │ │ │ ├── styles │ │ │ │ ├── pydata-sphinx-theme.css │ │ │ │ └── theme.css │ │ │ ├── underscore-1.13.1.js │ │ │ ├── underscore.js │ │ │ ├── vendor │ │ │ │ └── fontawesome │ │ │ │ │ └── 6.1.2 │ │ │ │ │ ├── LICENSE.txt │ │ │ │ │ ├── css │ │ │ │ │ └── all.min.css │ │ │ │ │ └── webfonts │ │ │ │ │ ├── fa-brands-400.ttf │ │ │ │ │ ├── fa-brands-400.woff2 │ │ │ │ │ ├── fa-regular-400.ttf │ │ │ │ │ ├── fa-regular-400.woff2 │ │ │ │ │ ├── fa-solid-900.ttf │ │ │ │ │ ├── fa-solid-900.woff2 │ │ │ │ │ ├── fa-v4compatibility.ttf │ │ │ │ │ └── fa-v4compatibility.woff2 │ │ │ └── webpack-macros.html │ │ ├── autoapi │ │ │ ├── BaseConstraints │ │ │ │ └── index.html │ │ │ ├── base_solvers │ │ │ │ ├── base_BB │ │ │ │ │ └── index.html │ │ │ │ ├── base_lahc │ │ │ │ │ └── index.html │ │ │ │ ├── base_sa │ │ │ │ │ └── index.html │ │ │ │ ├── base_solver │ │ │ │ │ └── index.html │ │ │ │ └── index.html │ │ │ ├── benchmark │ │ │ │ └── index.html │ │ │ ├── index.html │ │ │ ├── listeners │ │ │ │ ├── BaseListener │ │ │ │ │ └── index.html │ │ │ │ ├── CSVListener │ │ │ │ │ └── index.html │ │ │ │ ├── FileListener │ │ │ │ │ └── index.html │ │ │ │ ├── PlotListener │ │ │ │ │ └── index.html │ │ │ │ └── index.html │ │ │ └── pyscheduling │ │ │ │ ├── FS │ │ │ │ ├── FlowShop │ │ │ │ │ └── index.html │ │ │ │ ├── FmCmax │ │ │ │ │ └── index.html │ │ │ │ ├── FmSijkCmax │ │ │ │ │ └── index.html │ │ │ │ ├── FmriSijkCmax │ │ │ │ │ └── index.html │ │ │ │ ├── FmriSijkwiCi │ │ │ │ │ └── index.html │ │ │ │ ├── FmriSijkwiFi │ │ │ │ │ └── index.html │ │ │ │ ├── FmridiSijkwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ └── solvers │ │ │ │ │ ├── biba │ │ │ │ │ └── index.html │ │ │ │ │ ├── csp │ │ │ │ │ └── index.html │ │ │ │ │ ├── dispatch_rule │ │ │ │ │ └── index.html │ │ │ │ │ ├── grasp │ │ │ │ │ └── index.html │ │ │ │ │ ├── index.html │ │ │ │ │ ├── lahc │ │ │ │ │ └── index.html │ │ │ │ │ ├── minit │ │ │ │ │ └── index.html │ │ │ │ │ └── sa │ │ │ │ │ └── index.html │ │ │ │ ├── JS │ │ │ │ ├── Constraints │ │ │ │ │ └── index.html │ │ │ │ ├── JmCmax │ │ │ │ │ └── index.html │ │ │ │ ├── JmriSijkCmax │ │ │ │ │ └── index.html │ │ │ │ ├── JmriSijkwiCi │ │ │ │ │ └── index.html │ │ │ │ ├── JmriSijkwiFi │ │ │ │ │ └── index.html │ │ │ │ ├── JmridiSijkwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── JmriwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── JobShop │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ └── solvers │ │ │ │ │ ├── biba │ │ │ │ │ └── index.html │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ └── index.html │ │ │ │ │ ├── grasp │ │ │ │ │ └── index.html │ │ │ │ │ └── index.html │ │ │ │ ├── PMSP │ │ │ │ ├── ParallelMachines │ │ │ │ │ └── index.html │ │ │ │ ├── RmSijkCmax │ │ │ │ │ └── index.html │ │ │ │ ├── RmriSijkCmax │ │ │ │ │ └── index.html │ │ │ │ ├── RmriSijkWiCi │ │ │ │ │ └── index.html │ │ │ │ ├── RmriSijkWiFi │ │ │ │ │ └── index.html │ │ │ │ ├── RmridiSijkWiTi │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ ├── interface │ │ │ │ │ └── index.html │ │ │ │ └── solvers │ │ │ │ │ ├── ant_colony │ │ │ │ │ └── index.html │ │ │ │ │ ├── biba │ │ │ │ │ └── index.html │ │ │ │ │ ├── genetic_algorithm │ │ │ │ │ └── index.html │ │ │ │ │ ├── grasp │ │ │ │ │ └── index.html │ │ │ │ │ ├── index.html │ │ │ │ │ ├── lahc │ │ │ │ │ └── index.html │ │ │ │ │ ├── ordered_constructive │ │ │ │ │ └── index.html │ │ │ │ │ └── sa │ │ │ │ │ └── index.html │ │ │ │ ├── Problem │ │ │ │ └── index.html │ │ │ │ ├── SMSP │ │ │ │ ├── Constraints │ │ │ │ │ └── index.html │ │ │ │ ├── SingleMachine │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ ├── interface │ │ │ │ │ └── index.html │ │ │ │ ├── riPrecLmax │ │ │ │ │ └── index.html │ │ │ │ ├── rihiCi │ │ │ │ │ └── index.html │ │ │ │ ├── risijCmax │ │ │ │ │ └── index.html │ │ │ │ ├── risijwiCi │ │ │ │ │ └── index.html │ │ │ │ ├── risijwiFi │ │ │ │ │ └── index.html │ │ │ │ ├── risijwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── riwiCi │ │ │ │ │ └── index.html │ │ │ │ ├── riwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── sijCmax │ │ │ │ │ └── index.html │ │ │ │ ├── sijwiTi │ │ │ │ │ └── index.html │ │ │ │ ├── solvers │ │ │ │ │ ├── biba │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── csp │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── dispatch_heuristic │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── dynamic_dispatch_heuristic │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── grasp │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── index.html │ │ │ │ │ ├── lahc │ │ │ │ │ │ └── index.html │ │ │ │ │ └── sa │ │ │ │ │ │ └── index.html │ │ │ │ ├── wiCi │ │ │ │ │ └── index.html │ │ │ │ └── wiTi │ │ │ │ │ └── index.html │ │ │ │ ├── core │ │ │ │ ├── BaseConstraints │ │ │ │ │ └── index.html │ │ │ │ ├── base_solvers │ │ │ │ │ ├── base_BB │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── base_lahc │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── base_sa │ │ │ │ │ │ └── index.html │ │ │ │ │ ├── base_solver │ │ │ │ │ │ └── index.html │ │ │ │ │ └── index.html │ │ │ │ ├── benchmark │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ └── listeners │ │ │ │ │ ├── BaseListener │ │ │ │ │ └── index.html │ │ │ │ │ ├── CSVListener │ │ │ │ │ └── index.html │ │ │ │ │ ├── FileListener │ │ │ │ │ └── index.html │ │ │ │ │ ├── PlotListener │ │ │ │ │ └── index.html │ │ │ │ │ └── index.html │ │ │ │ ├── index.html │ │ │ │ └── pyscheduling │ │ │ │ └── index.html │ │ ├── examples │ │ │ ├── FS_example.html │ │ │ ├── FS_example.ipynb │ │ │ ├── JS_example.html │ │ │ ├── JS_example.ipynb │ │ │ ├── PMSP_example.html │ │ │ ├── PMSP_example.ipynb │ │ │ ├── SMSP_Interface_example.html │ │ │ ├── SMSP_Interface_example.ipynb │ │ │ ├── SMSP_example.html │ │ │ ├── SMSP_example.ipynb │ │ │ ├── benchmark_example.html │ │ │ └── benchmark_example.ipynb │ │ ├── genindex.html │ │ ├── getting_started.html │ │ ├── index.html │ │ ├── objects.inv │ │ ├── py-modindex.html │ │ ├── samples.html │ │ ├── search.html │ │ └── searchindex.js │ ├── _static │ │ ├── api.svg │ │ ├── css │ │ │ └── pyscheduling.css │ │ ├── getting_started.svg │ │ ├── pyscheduling_navbar.png │ │ └── samples.svg │ ├── conf.py │ ├── examples │ │ ├── FS_example.ipynb │ │ ├── JS_example.ipynb │ │ ├── PMSP_example.ipynb │ │ ├── SMSP_Interface_example.ipynb │ │ ├── SMSP_example.ipynb │ │ └── benchmark_example.ipynb │ ├── getting_started.rst │ ├── index.rst │ ├── make.bat │ └── samples.rst ├── index.md └── requirements.txt ├── pyproject.toml ├── src └── pyscheduling │ ├── FS │ ├── FS_CSP.ipynb │ ├── FlowShop.py │ ├── FmCmax.py │ ├── FmSijkCmax.py │ ├── FmriSijkCmax.py │ ├── FmriSijkwiCi.py │ ├── FmriSijkwiFi.py │ ├── FmridiSijkwiTi.py │ ├── __init__.py │ └── solvers │ │ ├── __init__.py │ │ ├── biba.py │ │ ├── csp.py │ │ ├── dispatch_rule.py │ │ ├── grasp.py │ │ ├── lahc.py │ │ ├── minit.py │ │ └── sa.py │ ├── JS │ ├── Constraints.py │ ├── JmCmax.py │ ├── JmriSijkCmax.py │ ├── JmriSijkwiCi.py │ ├── JmriSijkwiFi.py │ ├── JmridiSijkwiTi.py │ ├── JmriwiTi.py │ ├── JobShop.py │ ├── Jobshop_CSP.ipynb │ ├── Jobshop_MILP.ipynb │ ├── __init__.py │ └── solvers │ │ ├── __init__.py │ │ ├── biba.py │ │ ├── dispatch_heuristic.py │ │ └── grasp.py │ ├── PMSP │ ├── ParallelMachines.py │ ├── RmSijkCmax.py │ ├── RmriSijkCmax.py │ ├── RmriSijkWiCi.py │ ├── RmriSijkWiFi.py │ ├── RmridiSijkWiTi.py │ ├── Testing PMSP.ipynb │ ├── __init__.py │ ├── interface.py │ └── solvers │ │ ├── __init__.py │ │ ├── ant_colony.py │ │ ├── biba.py │ │ ├── genetic_algorithm.py │ │ ├── grasp.py │ │ ├── lahc.py │ │ ├── ordered_constructive.py │ │ └── sa.py │ ├── Problem.py │ ├── SMSP │ ├── Constraints.py │ ├── SMSP_tests.ipynb │ ├── SM_CSP.ipynb │ ├── SingleMachine.py │ ├── __init__.py │ ├── interface.py │ ├── riPrecLmax.py │ ├── rihiCi.py │ ├── risijCmax.py │ ├── risijwiCi.py │ ├── risijwiFi.py │ ├── risijwiTi.py │ ├── riwiCi.py │ ├── riwiTi.py │ ├── sijCmax.py │ ├── sijwiTi.py │ ├── solvers │ │ ├── __init__.py │ │ ├── biba.py │ │ ├── csp.py │ │ ├── dispatch_heuristic.py │ │ ├── dynamic_dispatch_heuristic.py │ │ ├── grasp.py │ │ ├── lahc.py │ │ └── sa.py │ ├── wiCi.py │ └── wiTi.py │ ├── __init__.py │ ├── core │ ├── BaseConstraints.py │ ├── __init__.py │ ├── base_solvers │ │ ├── __init__.py │ │ ├── base_BB.py │ │ ├── base_lahc.py │ │ ├── base_sa.py │ │ └── base_solver.py │ ├── benchmark.py │ └── listeners │ │ ├── BaseListener.py │ │ ├── CSVListener.py │ │ ├── FileListener.py │ │ ├── PlotListener.py │ │ └── __init__.py │ └── pyscheduling.py └── tests ├── notebooks ├── FS_tests.ipynb ├── JS_tests.ipynb ├── PM_tests.ipynb └── SM_tests.ipynb ├── test_fssp.py ├── test_jssp.py ├── test_pmsp.py ├── test_pyscheduling.py └── test_smsp.py /.github/workflows/main.yml: -------------------------------------------------------------------------------- 1 | name: Copy html folder from main to gh-pages 2 | 3 | on: 4 | push: 5 | branches: 6 | - main 7 | paths: 8 | - docs/documentation/** 9 | 10 | jobs: 11 | copy: 12 | name: Update the documentation website 13 | runs-on: ubuntu-latest 14 | steps: 15 | - uses: actions/checkout@v2 16 | - name: copy 17 | env: 18 | SRC_FOLDER_PATH: 'docs/documentation/_build' 19 | TARGET_BRANCH: 'gh-pages' 20 | run: | 21 | files=$(find $SRC_FOLDER_PATH -type f) # get the file list 22 | git config --global user.name 'GitHub Action' 23 | git config --global user.email 'action@github.com' 24 | git fetch # fetch branches 25 | git checkout $TARGET_BRANCH # checkout to your branch 26 | git checkout ${GITHUB_REF##*/} -- $files # copy files from the source branch 27 | cp -r docs/documentation/_build/* . 28 | rm -r docs/documentation/_build 29 | git add . 30 | git diff-index --quiet HEAD || git commit -am "deploy files" # commit to the repository (ignore if no modification) 31 | git push origin $TARGET_BRANCH # push to remote branch 32 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | /.vscode 2 | **/__pycache__ 3 | **/build 4 | **/.ipynb_checkpoints 5 | **/execs 6 | **/input 7 | **/tmp 8 | **/Romeo 9 | **.code-workspace 10 | **.pyc 11 | **.lock 12 | **/dist -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | 4 | 5 | ## v0.1.0 (11/07/2022) 6 | 7 | - First release of `pyscheduling` containing constructive and list heuristics for Rm | Sijk | Cmax 8 | 9 | ## v0.1.1 (25/07/2022) 10 | 11 | - Added metaheuristics (grasp, meta_raps, lahc, sa, aco) for the problem Rm | Sijk | Cmax 12 | 13 | ## v0.1.2 (02/08/2022) 14 | 15 | - Added SMSP module for single machine scheduling problems with some basic list heuristics 16 | 17 | ## v0.1.3 (12/09/2022) 18 | 19 | - Added multiple SMSP variants, Added flowshop and jobshop scheduling problems (stucture and few methods) 20 | 21 | ## v0.1.4 (30/09/2022) 22 | 23 | - First public release, fixed some bugs from v0.1.3 and distributed to pypi 24 | 25 | ## v0.1.5 (16/12/2022) 26 | 27 | - Added SMSP and PMSP generic problems 28 | 29 | ## v0.1.6 (20/01/2023) 30 | 31 | - Hot fix some problems in PMSP 32 | 33 | ## v0.1.7 (02/03/2023) 34 | 35 | - Added all 4 categories' generic problems, downgraded to python3.8 36 | 37 | ## v0.1.8 (05/04/2023) 38 | 39 | - Refactored constraints representation, used plotly for gantt 40 | 41 | ## v0.2.0 (22/08/2023) 42 | 43 | - Generic solver classes, core package, listeners -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # pyscheduling 2 | 3 | THE python package to solve scheduling problems 4 | 5 | ## Installation 6 | 7 | ```bash 8 | $ pip install pyscheduling 9 | ``` 10 | 11 | ## Usage 12 | 13 | ```python 14 | import pyscheduling.SMSP.interface as sm 15 | 16 | problem = sm.Problem() 17 | problem.add_constraints([sm.Constraints.W,sm.Constraints.D]) 18 | problem.set_objective(sm.Objective.wiTi) 19 | problem.generate_random(n=20,Wmax=10) 20 | solution = problem.solve(problem.heuristics["ACT"]) 21 | print(solution) 22 | ``` 23 | 24 | ## Contributing 25 | 26 | Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms. 27 | 28 | ## License 29 | 30 | `pyscheduling` was created by the scheduling-cc organization. CC-BY-NC-ND-4.0. -------------------------------------------------------------------------------- /docs/changelog.md: -------------------------------------------------------------------------------- 1 | ```{include} ../CHANGELOG.md 2 | ``` -------------------------------------------------------------------------------- /docs/contributing.md: -------------------------------------------------------------------------------- 1 | ```{include} ../CONTRIBUTING.md 2 | ``` -------------------------------------------------------------------------------- /docs/documentation/Makefile: -------------------------------------------------------------------------------- 1 | # Minimal makefile for Sphinx documentation 2 | # 3 | 4 | # You can set these variables from the command line, and also 5 | # from the environment for the first two. 6 | SPHINXOPTS ?= 7 | SPHINXBUILD ?= sphinx-build 8 | SOURCEDIR = . 9 | BUILDDIR = _build 10 | 11 | # Put it first so that "make" without argument is like "make help". 12 | help: 13 | @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) 14 | 15 | .PHONY: help Makefile 16 | 17 | # Catch-all target: route all unknown targets to Sphinx using the new 18 | # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). 19 | %: Makefile 20 | @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) 21 | -------------------------------------------------------------------------------- /docs/documentation/_build/.buildinfo: -------------------------------------------------------------------------------- 1 | # Sphinx build info version 1 2 | # This file hashes the configuration used when building these files. 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-------------------------------------------------------------------------------- /docs/documentation/_build/.doctrees/nbsphinx/examples/SMSP_example.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Single Machine Sample" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "We start by importing the corresponding jobshop problem module as following :" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 6, 20 | "metadata": {}, 21 | "outputs": [], 22 | "source": [ 23 | "%load_ext autoreload\n", 24 | "%autoreload 2\n", 25 | "import pyscheduling.SMSP.riwiCi as smsp_ri" 26 | ] 27 | }, 28 | { 29 | "cell_type": "markdown", 30 | "metadata": {}, 31 | "source": [ 32 | "We can either import the instance from a text file or randomly generate it." 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": null, 38 | "metadata": {}, 39 | "outputs": [], 40 | "source": [ 41 | "instance = smsp_ri.riwiCi_Instance.generate_random(50,Wmax=10,Pmin=1, Pmax=50,Alpha=100)\n", 42 | "instance.to_txt(\"deleteMe.txt\")" 43 | ] 44 | }, 45 | { 46 | "cell_type": "markdown", 47 | "metadata": {}, 48 | "source": [ 49 | "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": null, 55 | "metadata": {}, 56 | "outputs": [], 57 | "source": [ 58 | "solution = smsp_ri.Heuristics.WSECi(instance)\n", 59 | "print(solution)" 60 | ] 61 | } 62 | ], 63 | "metadata": { 64 | "kernelspec": { 65 | "display_name": "Python 3.9.12 ('pyscheduling')", 66 | "language": "python", 67 | "name": "python3" 68 | }, 69 | "language_info": { 70 | "codemirror_mode": { 71 | "name": "ipython", 72 | "version": 3 73 | }, 74 | "file_extension": ".py", 75 | "mimetype": "text/x-python", 76 | "name": "python", 77 | "nbconvert_exporter": "python", 78 | "pygments_lexer": "ipython3", 79 | "version": "3.9.12" 80 | }, 81 | "vscode": { 82 | "interpreter": { 83 | "hash": "fa7cdbb78ab82d427a6b02c171e3c48e0658c2b720f18feff16576a8f3200f32" 84 | } 85 | } 86 | }, 87 | "nbformat": 4, 88 | "nbformat_minor": 2 89 | } 90 | -------------------------------------------------------------------------------- /docs/documentation/_build/.doctrees/samples.doctree: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scheduling-cc/pyscheduling/db0aff122874d309dc6c541237f4e39d82f20ba4/docs/documentation/_build/.doctrees/samples.doctree -------------------------------------------------------------------------------- /docs/documentation/_build/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css: -------------------------------------------------------------------------------- 1 | :root { 2 | --tabs-color-label-active: hsla(231, 99%, 66%, 1); 3 | --tabs-color-label-inactive: rgba(178, 206, 245, 0.62); 4 | --tabs-color-overline: rgb(207, 236, 238); 5 | --tabs-color-underline: rgb(207, 236, 238); 6 | --tabs-size-label: 1rem; 7 | } -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/base_solvers/base_lahc/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`base_solvers.base_lahc` 2 | ================================ 3 | 4 | .. py:module:: base_solvers.base_lahc 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | base_solvers.base_lahc.BaseLAHC 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseLAHC 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.base_solver.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | .. py:attribute:: time_limit_factor 38 | :annotation: :float 39 | 40 | 41 | 42 | .. py:attribute:: init_sol_method 43 | :annotation: :pyscheduling.core.base_solvers.base_solver.BaseSolver 44 | 45 | 46 | 47 | .. py:attribute:: history_list_size 48 | :annotation: :int 49 | 50 | 51 | 52 | .. py:attribute:: n_iterations 53 | :annotation: :int 54 | 55 | 56 | 57 | .. py:attribute:: non_improv 58 | :annotation: :int 59 | 60 | 61 | 62 | .. py:attribute:: use_local_search 63 | :annotation: :bool 64 | 65 | 66 | 67 | .. py:attribute:: random_seed 68 | :annotation: :int 69 | 70 | 71 | 72 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 73 | 74 | Returns the solution using the LAHC algorithm 75 | 76 | :param instance: Instance object to solve 77 | :type instance: ParallelInstance 78 | 79 | :returns: the solver result of the execution of the metaheuristic 80 | :rtype: Problem.SolveResult 81 | 82 | 83 | 84 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/base_solvers/base_sa/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`base_solvers.base_sa` 2 | ============================== 3 | 4 | .. py:module:: base_solvers.base_sa 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | base_solvers.base_sa.BaseSA 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseSA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.base_solver.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | .. py:attribute:: time_limit_factor 38 | :annotation: :float 39 | 40 | 41 | 42 | .. py:attribute:: init_sol_method 43 | :annotation: :pyscheduling.core.base_solvers.base_solver.BaseSolver 44 | 45 | 46 | 47 | .. py:attribute:: init_temp 48 | :annotation: :float 49 | 50 | 51 | 52 | .. py:attribute:: final_temp 53 | :annotation: :float 54 | 55 | 56 | 57 | .. py:attribute:: k 58 | :annotation: :float 59 | 60 | 61 | 62 | .. py:attribute:: cooling_factor 63 | :annotation: :float 64 | 65 | 66 | 67 | .. py:attribute:: n_iterations 68 | :annotation: :int 69 | 70 | 71 | 72 | .. py:attribute:: non_improv 73 | :annotation: :int 74 | 75 | 76 | 77 | .. py:attribute:: use_local_search 78 | :annotation: :bool 79 | 80 | 81 | 82 | .. py:attribute:: random_seed 83 | :annotation: :int 84 | 85 | 86 | 87 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 88 | 89 | Returns the solution using the simulated annealing algorithm or the restricted simulated annealing algorithm 90 | 91 | :param instance: Instance object to solve 92 | :type instance: ParallelInstance 93 | 94 | :returns: the solver result of the execution of the metaheuristic 95 | :rtype: Problem.SolveResult 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/base_solvers/base_solver/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`base_solvers.base_solver` 2 | ================================== 3 | 4 | .. py:module:: base_solvers.base_solver 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | base_solvers.base_solver.BaseSolver 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseSolver 21 | 22 | Bases: :py:obj:`abc.ABC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: listeners 28 | :annotation: :List[pyscheduling.core.listeners.BaseListener] 29 | 30 | 31 | 32 | .. py:attribute:: solve_result 33 | :annotation: :pyscheduling.Problem.SolveResult 34 | 35 | 36 | 37 | .. py:method:: attach_listeners(*listeners: pyscheduling.core.listeners.BaseListener) 38 | 39 | Subscribe a list of listeners to the solving process 40 | 41 | :raises TypeError: if one of the passed arguments is not a subclass of BaseListener 42 | 43 | 44 | .. py:method:: add_solution(new_solution: pyscheduling.Problem.BaseSolution, time_found: int) 45 | 46 | Adds the new found solution to the solve_result and compute the current timestamp 47 | 48 | :param new_solution: Found solution 49 | :type new_solution: Solution 50 | :param time_found: Timestamp of the moment the solution was found 51 | :type time_found: int 52 | 53 | 54 | .. py:method:: notify_on_start() 55 | 56 | Notify the subscribed listeners of the start of the solve process 57 | 58 | 59 | 60 | .. py:method:: notify_on_complete() 61 | 62 | Notify the subscribed listeners of the end of the solve process 63 | 64 | 65 | 66 | .. py:method:: notify_on_solution_found(new_solution: pyscheduling.Problem.BaseSolution) 67 | 68 | Notify the subscribe listeners of the new found solution 69 | 70 | :param new_solution: Found solution 71 | :type new_solution: BaseSolution 72 | 73 | 74 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 75 | :abstractmethod: 76 | 77 | 78 | 79 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/base_solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`base_solvers` 2 | ====================== 3 | 4 | .. py:module:: base_solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | base_BB/index.rst 14 | base_lahc/index.rst 15 | base_sa/index.rst 16 | base_solver/index.rst 17 | 18 | 19 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/benchmark/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`benchmark` 2 | =================== 3 | 4 | .. py:module:: benchmark 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | benchmark.Log 16 | 17 | 18 | 19 | Functions 20 | ~~~~~~~~~ 21 | 22 | .. autoapisummary:: 23 | 24 | benchmark.write_excel 25 | benchmark.run_solver_instance 26 | 27 | 28 | 29 | .. py:class:: Log 30 | 31 | Bases: :py:obj:`enum.Enum` 32 | 33 | Generic enumeration. 34 | 35 | Derive from this class to define new enumerations. 36 | 37 | .. py:attribute:: objective 38 | :annotation: = objective_value 39 | 40 | 41 | 42 | .. py:attribute:: runtime 43 | :annotation: = runtime 44 | 45 | 46 | 47 | .. py:attribute:: nb_solution 48 | :annotation: = nb_solution 49 | 50 | 51 | 52 | .. py:attribute:: status 53 | :annotation: = solve_status 54 | 55 | 56 | 57 | 58 | .. py:function:: write_excel(fname: pathlib.Path, result) 59 | 60 | Wrapper method to bypass pandas dependancy, mainly used in opale server 61 | :param fname: path to the result excel file, without the .extension 62 | :type fname: str 63 | :param result_dict: (key, value) pairs of the results 64 | :type result_dict: dict 65 | 66 | 67 | .. py:function:: run_solver_instance(fname: pathlib.Path, instances: List[pyscheduling.Problem.BaseInstance], methods_args: List[object], kwargs={}, log_param: List[Log] = [Log.objective, Log.runtime]) 68 | 69 | Performs the benchmark of a list of methods on a list of instances, creates a csv file of the results and 70 | outputs the results 71 | 72 | :param fname: output filename 73 | :type fname: Path 74 | :param instances: List of instances to solve 75 | :type instances: list[Problem.Instance] 76 | :param methods_args: List of either methods or couple of method and its extra-arguments. 77 | :type methods_args: list[object] 78 | :param kwargs: Extra-arguments for all methods. Defaults to {}. 79 | :type kwargs: dict, optional 80 | :param log_param: parameters to be logged. Defaults to [Log.objective,Log.runtime]. 81 | :type log_param: list[Log], optional 82 | 83 | :returns: result of the benchmark 84 | :rtype: dict 85 | 86 | 87 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/index.rst.txt: -------------------------------------------------------------------------------- 1 | API Reference 2 | ============= 3 | 4 | This page contains auto-generated API reference documentation [#f1]_. 5 | 6 | .. toctree:: 7 | :titlesonly: 8 | 9 | /autoapi/pyscheduling/index 10 | 11 | .. [#f1] Created with `sphinx-autoapi `_ -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/listeners/BaseListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`listeners.BaseListener` 2 | ================================ 3 | 4 | .. py:module:: listeners.BaseListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | listeners.BaseListener.BaseListener 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseListener 21 | 22 | Bases: :py:obj:`abc.ABC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: solve_result 28 | :annotation: :pyscheduling.Problem.SolveResult 29 | 30 | 31 | 32 | .. py:attribute:: _start_time 33 | :annotation: :int 34 | 35 | 36 | 37 | .. py:attribute:: _end_time 38 | :annotation: :int 39 | 40 | 41 | 42 | .. py:attribute:: _total_time 43 | :annotation: :int 44 | 45 | 46 | 47 | .. py:attribute:: _nb_sol 48 | :annotation: :int 49 | 50 | 51 | 52 | .. py:method:: check_best_sol(solution) 53 | 54 | Check if the new solution is the best found so far 55 | 56 | :param solution: Found solution 57 | :type solution: BaseSolution 58 | 59 | :returns: True if it is the best so far. False otherwise. 60 | :rtype: bool 61 | 62 | 63 | .. py:method:: on_start(solve_result, start_time) 64 | 65 | Start Listening to the solve provess 66 | 67 | :param solve_result: Solve result containing the solutions and other metrics 68 | :type solve_result: SolveResult 69 | :param start_time: timestamp of the start of the solve process 70 | :type start_time: int 71 | 72 | 73 | .. py:method:: on_complete(end_time) 74 | 75 | Finish listerning to the solve process 76 | 77 | :param end_time: timestamp of the end of the solve process 78 | :type end_time: int 79 | 80 | 81 | .. py:method:: on_solution_found(new_solution, time_found) 82 | :abstractmethod: 83 | 84 | Callback to finding a solution 85 | 86 | :param new_solution: Found solution 87 | :type new_solution: BaseSolution 88 | :param time_found: timestamp of the moment the solution was found 89 | :type time_found: int 90 | 91 | 92 | 93 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/listeners/CSVListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`listeners.CSVListener` 2 | =============================== 3 | 4 | .. py:module:: listeners.CSVListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | listeners.CSVListener.CSVListener 16 | 17 | 18 | 19 | 20 | .. py:class:: CSVListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: file_path 28 | :annotation: :pathlib.Path 29 | 30 | 31 | 32 | .. py:attribute:: _file 33 | :annotation: :TextIO 34 | 35 | 36 | 37 | .. py:method:: on_start(solve_result, start_time) 38 | 39 | <<<<<<< HEAD 40 | Called at the start of the algorithm 41 | 42 | :param start_time: time to start recording results 43 | ======= 44 | Start Listening to the solve provess 45 | 46 | :param solve_result: Solve result containing the solutions and other metrics 47 | :type solve_result: SolveResult 48 | :param start_time: timestamp of the start of the solve process 49 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 50 | :type start_time: int 51 | 52 | 53 | .. py:method:: on_complete(end_time) 54 | 55 | <<<<<<< HEAD 56 | Called at the end of the algorithm 57 | 58 | :param end_time: time at the end of the algorithm 59 | ======= 60 | Finish listerning to the solve process 61 | 62 | :param end_time: timestamp of the end of the solve process 63 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 64 | :type end_time: int 65 | 66 | 67 | .. py:method:: on_solution_found(new_solution, time_found) 68 | 69 | <<<<<<< HEAD 70 | Called each time a new solution is found 71 | 72 | :param new_solution: the solution found 73 | :param time_found: the time a solution is found 74 | ======= 75 | Callback to finding a solution 76 | 77 | :param new_solution: Found solution 78 | :type new_solution: BaseSolution 79 | :param time_found: timestamp of the moment the solution was found 80 | :type time_found: int 81 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 82 | 83 | 84 | 85 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/listeners/FileListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`listeners.FileListener` 2 | ================================ 3 | 4 | .. py:module:: listeners.FileListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | listeners.FileListener.FileListener 16 | 17 | 18 | 19 | 20 | .. py:class:: FileListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: file_path 28 | :annotation: :pathlib.Path 29 | 30 | 31 | 32 | .. py:attribute:: _file 33 | :annotation: :TextIO 34 | 35 | 36 | 37 | .. py:method:: on_start(solve_result, start_time) 38 | 39 | <<<<<<< HEAD 40 | Called at the start of the algorithm 41 | 42 | :param start_time: time to start recording results 43 | ======= 44 | Start Listening to the solve provess 45 | 46 | :param solve_result: Solve result containing the solutions and other metrics 47 | :type solve_result: SolveResult 48 | :param start_time: timestamp of the start of the solve process 49 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 50 | :type start_time: int 51 | 52 | 53 | .. py:method:: on_complete(end_time) 54 | 55 | <<<<<<< HEAD 56 | Called at the end of the algorithm 57 | 58 | :param end_time: time at the end of the algorithm 59 | ======= 60 | Finish listerning to the solve process 61 | 62 | :param end_time: timestamp of the end of the solve process 63 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 64 | :type end_time: int 65 | 66 | 67 | .. py:method:: on_solution_found(new_solution, time_found) 68 | 69 | <<<<<<< HEAD 70 | Called each time a new solution is found 71 | 72 | :param new_solution: the solution found 73 | :param time_found: the time a solution is found 74 | ======= 75 | Callback to finding a solution 76 | 77 | :param new_solution: Found solution 78 | :type new_solution: BaseSolution 79 | :param time_found: timestamp of the moment the solution was found 80 | :type time_found: int 81 | >>>>>>> f367db6031b49a40aa83c253dadade2d60e5dc77 82 | 83 | 84 | 85 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/listeners/PlotListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`listeners.PlotListener` 2 | ================================ 3 | 4 | .. py:module:: listeners.PlotListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | listeners.PlotListener.PlotListener 16 | 17 | 18 | 19 | 20 | .. py:class:: PlotListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: on_start(solve_result, start_time) 28 | 29 | Start Listening to the solve provess 30 | 31 | :param solve_result: Solve result containing the solutions and other metrics 32 | :type solve_result: SolveResult 33 | :param start_time: timestamp of the start of the solve process 34 | :type start_time: int 35 | 36 | 37 | .. py:method:: on_complete(end_time) 38 | 39 | Finish listerning to the solve process 40 | 41 | :param end_time: timestamp of the end of the solve process 42 | :type end_time: int 43 | 44 | 45 | .. py:method:: on_solution_found(new_solution, time_found) 46 | 47 | Callback to finding a solution 48 | 49 | :param new_solution: Found solution 50 | :type new_solution: BaseSolution 51 | :param time_found: timestamp of the moment the solution was found 52 | :type time_found: int 53 | 54 | 55 | 56 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmCmax` 2 | ================================ 3 | 4 | .. py:module:: pyscheduling.FS.FmCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmCmax.FmCmax_Instance 16 | pyscheduling.FS.FmCmax.Slope 17 | 18 | 19 | 20 | 21 | .. py:class:: FmCmax_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 22 | 23 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 24 | 25 | Helper class that provides a standard way to create an ABC using 26 | inheritance. 27 | 28 | .. py:attribute:: P 29 | :annotation: :List[List[int]] 30 | 31 | 32 | 33 | .. py:attribute:: constraints 34 | :annotation: :ClassVar[List[pyscheduling.FS.FlowShop.Constraints]] 35 | 36 | 37 | 38 | .. py:attribute:: objective 39 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 40 | 41 | 42 | 43 | .. py:attribute:: init_sol_method 44 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 45 | 46 | 47 | 48 | 49 | .. py:class:: Slope 50 | 51 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 52 | 53 | Helper class that provides a standard way to create an ABC using 54 | inheritance. 55 | 56 | .. py:method:: solve(instance: FmCmax_Instance) 57 | 58 | Inspired from Jonhson's rule, this heuristic schedules first the jobs with the smallest processing times on the first machines 59 | 60 | :param instance: Instance to be solved by the heuristic 61 | :type instance: FmCmax_Instance 62 | 63 | :returns: the solver result of the execution of the heuristic 64 | :rtype: Problem.SolveResult 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmSijkCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmSijkCmax` 2 | ==================================== 3 | 4 | .. py:module:: pyscheduling.FS.FmSijkCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmSijkCmax.FmSijkCmax_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: FmSijkCmax_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: S 33 | :annotation: :List[List[List[int]]] 34 | 35 | 36 | 37 | .. py:attribute:: constraints 38 | :annotation: :ClassVar[List[pyscheduling.FS.FlowShop.Constraints]] 39 | 40 | 41 | 42 | .. py:attribute:: objective 43 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 44 | 45 | 46 | 47 | .. py:attribute:: init_sol_method 48 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 49 | 50 | 51 | 52 | 53 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmriSijkCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmriSijkCmax` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.FS.FmriSijkCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmriSijkCmax.FmriSijkCmax_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: FmriSijkCmax_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: R 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: S 38 | :annotation: :List[List[List[int]]] 39 | 40 | 41 | 42 | .. py:attribute:: constraints 43 | :annotation: :ClassVar[pyscheduling.FS.FlowShop.Constraints] 44 | 45 | 46 | 47 | .. py:attribute:: objective 48 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 49 | 50 | 51 | 52 | .. py:attribute:: init_sol_method 53 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 54 | 55 | 56 | 57 | 58 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmriSijkwiCi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmriSijkwiCi` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.FS.FmriSijkwiCi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmriSijkwiCi.FmriSijkwiCi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: FmriSijkwiCi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: S 43 | :annotation: :List[List[List[int]]] 44 | 45 | 46 | 47 | .. py:attribute:: constraints 48 | :annotation: :ClassVar[pyscheduling.FS.FlowShop.Constraints] 49 | 50 | 51 | 52 | .. py:attribute:: objective 53 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 54 | 55 | 56 | 57 | .. py:attribute:: init_sol_method 58 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 59 | 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmriSijkwiFi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmriSijkwiFi` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.FS.FmriSijkwiFi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmriSijkwiFi.FmriSijkwiFi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: FmriSijkwiFi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: S 43 | :annotation: :List[List[List[int]]] 44 | 45 | 46 | 47 | .. py:attribute:: constraints 48 | :annotation: :ClassVar[pyscheduling.FS.FlowShop.Constraints] 49 | 50 | 51 | 52 | .. py:attribute:: objective 53 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 54 | 55 | 56 | 57 | .. py:attribute:: init_sol_method 58 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 59 | 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/FmridiSijkwiTi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.FmridiSijkwiTi` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.FS.FmridiSijkwiTi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.FmridiSijkwiTi.FmridiSijkwiTi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: FmridiSijkwiTi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.FS.FlowShop.FlowShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: D 43 | :annotation: :List[int] 44 | 45 | 46 | 47 | .. py:attribute:: S 48 | :annotation: :List[List[List[int]]] 49 | 50 | 51 | 52 | .. py:attribute:: constraints 53 | :annotation: :ClassVar[pyscheduling.FS.FlowShop.Constraints] 54 | 55 | 56 | 57 | .. py:attribute:: objective 58 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 59 | 60 | 61 | 62 | .. py:attribute:: init_sol_method 63 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 64 | 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS` 2 | ========================= 3 | 4 | .. py:module:: pyscheduling.FS 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | solvers/index.rst 14 | 15 | 16 | Submodules 17 | ---------- 18 | .. toctree:: 19 | :titlesonly: 20 | :maxdepth: 1 21 | 22 | FlowShop/index.rst 23 | FmCmax/index.rst 24 | FmSijkCmax/index.rst 25 | FmriSijkCmax/index.rst 26 | FmriSijkwiCi/index.rst 27 | FmriSijkwiFi/index.rst 28 | FmridiSijkwiTi/index.rst 29 | 30 | 31 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/biba/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.biba` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.FS.solvers.biba 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.biba.BIBA 16 | 17 | 18 | 19 | 20 | .. py:class:: BIBA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: solve(instance: pyscheduling.FS.FlowShop.FlowShopInstance) 28 | 29 | the greedy constructive heuristic (Best Insertion Based approach) to find an initial solution of flowshop instances 30 | 31 | :param instance: Instance to be solved by the heuristic 32 | :type instance: FlowShopInstance 33 | 34 | :returns: the solver result of the execution of the heuristic 35 | :rtype: Problem.SolveResult 36 | 37 | 38 | 39 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/dispatch_rule/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.dispatch_rule` 2 | =============================================== 3 | 4 | .. py:module:: pyscheduling.FS.solvers.dispatch_rule 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.dispatch_rule.DispatchRule 16 | 17 | 18 | 19 | 20 | .. py:class:: DispatchRule 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: rule 28 | :annotation: :Callable 29 | 30 | 31 | 32 | .. py:attribute:: reverse 33 | :annotation: :bool = False 34 | 35 | 36 | 37 | .. py:method:: solve(instance: pyscheduling.FS.FlowShop.FlowShopInstance) 38 | 39 | Orders the jobs according to the rule (lambda function) and returns the schedule accordignly 40 | 41 | :param instance: Instance to be solved 42 | :type instance: SingleInstance 43 | 44 | :returns: SolveResult of the instance by the method 45 | :rtype: RootProblem.SolveResult 46 | 47 | 48 | 49 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/grasp/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.grasp` 2 | ======================================= 3 | 4 | .. py:module:: pyscheduling.FS.solvers.grasp 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.grasp.GRASP 16 | 17 | 18 | 19 | 20 | .. py:class:: GRASP 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: p 28 | :annotation: :float = 0.5 29 | 30 | 31 | 32 | .. py:attribute:: r 33 | :annotation: :int = 0.5 34 | 35 | 36 | 37 | .. py:attribute:: n_iterations 38 | :annotation: :int = 5 39 | 40 | 41 | 42 | .. py:method:: solve(instance: pyscheduling.FS.FlowShop.FlowShopInstance) 43 | 44 | Returns the solution using the Greedy randomized adaptive search procedure algorithm 45 | 46 | :param instance: The instance to be solved by the heuristic 47 | :type instance: SingleInstance 48 | :param p: probability of taking the greedy best solution 49 | :type p: float 50 | :param r: percentage of moves to consider to select the best move 51 | :type r: int 52 | :param nb_exec: Number of execution of the heuristic 53 | :type nb_exec: int 54 | 55 | :returns: the solver result of the execution of the heuristic 56 | :rtype: Problem.SolveResult 57 | 58 | 59 | 60 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers` 2 | ================================= 3 | 4 | .. py:module:: pyscheduling.FS.solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | biba/index.rst 14 | csp/index.rst 15 | dispatch_rule/index.rst 16 | grasp/index.rst 17 | lahc/index.rst 18 | minit/index.rst 19 | sa/index.rst 20 | 21 | 22 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/lahc/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.lahc` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.FS.solvers.lahc 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.lahc.LAHC 16 | 17 | 18 | 19 | 20 | .. py:class:: LAHC 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseLAHC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/minit/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.minit` 2 | ======================================= 3 | 4 | .. py:module:: pyscheduling.FS.solvers.minit 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.minit.MINIT 16 | 17 | 18 | 19 | 20 | .. py:class:: MINIT 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: solve(instance: pyscheduling.FS.FlowShop.FlowShopInstance) 28 | 29 | Gupta's MINIT heuristic which is based on iteratively scheduling a new job at the end 30 | so that it minimizes the idle time at the last machine 31 | 32 | :param instance: Instance to be solved 33 | :type instance: FlowShop.FlowShopInstance 34 | 35 | :returns: SolveResult of the instance by the method 36 | :rtype: RootProblem.SolveResult 37 | 38 | 39 | 40 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/FS/solvers/sa/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.FS.solvers.sa` 2 | ==================================== 3 | 4 | .. py:module:: pyscheduling.FS.solvers.sa 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.FS.solvers.sa.SA 16 | 17 | 18 | 19 | 20 | .. py:class:: SA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSA` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/JmriSijkCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.JmriSijkCmax` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.JS.JmriSijkCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.JmriSijkCmax.JmriSijkCmax_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: JmriSijkCmax_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.JS.JobShop.JobShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: R 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: S 38 | :annotation: :List[List[List[int]]] 39 | 40 | 41 | 42 | .. py:attribute:: constraints 43 | :annotation: :ClassVar[pyscheduling.JS.JobShop.Constraints] 44 | 45 | 46 | 47 | .. py:attribute:: objective 48 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 49 | 50 | 51 | 52 | .. py:attribute:: init_sol_method 53 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 54 | 55 | 56 | 57 | 58 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/JmriSijkwiCi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.JmriSijkwiCi` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.JS.JmriSijkwiCi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.JmriSijkwiCi.JmriSijkwiCi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: JmriSijkwiCi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.JS.JobShop.JobShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: S 43 | :annotation: :List[List[List[int]]] 44 | 45 | 46 | 47 | .. py:attribute:: constraints 48 | :annotation: :ClassVar[pyscheduling.JS.JobShop.Constraints] 49 | 50 | 51 | 52 | .. py:attribute:: objective 53 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 54 | 55 | 56 | 57 | .. py:attribute:: init_sol_method 58 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 59 | 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/JmriSijkwiFi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.JmriSijkwiFi` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.JS.JmriSijkwiFi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.JmriSijkwiFi.JmriSijkwiFi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: JmriSijkwiFi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.JS.JobShop.JobShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: S 43 | :annotation: :List[List[List[int]]] 44 | 45 | 46 | 47 | .. py:attribute:: constraints 48 | :annotation: :ClassVar[pyscheduling.JS.JobShop.Constraints] 49 | 50 | 51 | 52 | .. py:attribute:: objective 53 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 54 | 55 | 56 | 57 | .. py:attribute:: init_sol_method 58 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 59 | 60 | 61 | 62 | 63 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/JmridiSijkwiTi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.JmridiSijkwiTi` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.JS.JmridiSijkwiTi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.JmridiSijkwiTi.JmridiSijkwiTi_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: JmridiSijkwiTi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.JS.JobShop.JobShopInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[List[int]] 29 | 30 | 31 | 32 | .. py:attribute:: W 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: R 38 | :annotation: :List[int] 39 | 40 | 41 | 42 | .. py:attribute:: D 43 | :annotation: :List[int] 44 | 45 | 46 | 47 | .. py:attribute:: S 48 | :annotation: :List[List[List[int]]] 49 | 50 | 51 | 52 | .. py:attribute:: constraints 53 | :annotation: :ClassVar[pyscheduling.JS.JobShop.Constraints] 54 | 55 | 56 | 57 | .. py:attribute:: objective 58 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 59 | 60 | 61 | 62 | .. py:attribute:: init_sol_method 63 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 64 | 65 | 66 | 67 | 68 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/JmriwiTi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.JmriwiTi` 2 | ================================== 3 | 4 | .. py:module:: pyscheduling.JS.JmriwiTi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.JmriwiTi.JmriwiTi_Instance 16 | pyscheduling.JS.JmriwiTi.ShiftingBottleneck 17 | 18 | 19 | 20 | 21 | .. py:class:: JmriwiTi_Instance(n: int, m: int, name: str = 'Unknown', **kwargs) 22 | 23 | Bases: :py:obj:`pyscheduling.JS.JobShop.JobShopInstance` 24 | 25 | Helper class that provides a standard way to create an ABC using 26 | inheritance. 27 | 28 | .. py:attribute:: P 29 | :annotation: :List[List[int]] 30 | 31 | 32 | 33 | .. py:attribute:: W 34 | :annotation: :List[int] 35 | 36 | 37 | 38 | .. py:attribute:: R 39 | :annotation: :List[int] 40 | 41 | 42 | 43 | .. py:attribute:: D 44 | :annotation: :List[int] 45 | 46 | 47 | 48 | .. py:attribute:: S 49 | :annotation: :List[List[List[int]]] 50 | 51 | 52 | 53 | .. py:attribute:: constraints 54 | :annotation: :ClassVar[pyscheduling.JS.JobShop.Constraints] 55 | 56 | 57 | 58 | .. py:attribute:: objective 59 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 60 | 61 | 62 | 63 | .. py:method:: init_sol_method() 64 | :property: 65 | 66 | 67 | 68 | .. py:class:: ShiftingBottleneck 69 | 70 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 71 | 72 | Helper class that provides a standard way to create an ABC using 73 | inheritance. 74 | 75 | .. py:method:: solve(instance: JmriwiTi_Instance) 76 | 77 | Shifting bottleneck heuristic, Pinedo page 193 78 | 79 | :param instance: Instance to be solved 80 | :type instance: JmCmax_Instance 81 | 82 | :returns: SolveResult of the instance by the method 83 | :rtype: RootProblem.SolveResult 84 | 85 | 86 | 87 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS` 2 | ========================= 3 | 4 | .. py:module:: pyscheduling.JS 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | solvers/index.rst 14 | 15 | 16 | Submodules 17 | ---------- 18 | .. toctree:: 19 | :titlesonly: 20 | :maxdepth: 1 21 | 22 | Constraints/index.rst 23 | JmCmax/index.rst 24 | JmriSijkCmax/index.rst 25 | JmriSijkwiCi/index.rst 26 | JmriSijkwiFi/index.rst 27 | JmridiSijkwiTi/index.rst 28 | JmriwiTi/index.rst 29 | JobShop/index.rst 30 | 31 | 32 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/solvers/biba/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.solvers.biba` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.JS.solvers.biba 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.solvers.biba.BIBA 16 | 17 | 18 | 19 | 20 | .. py:class:: BIBA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: solve(instance: pyscheduling.JS.JobShop.JobShopInstance) 28 | 29 | the greedy constructive heuristic (Best insertion based approach) to find an initial solution of a Jobshop instance. 30 | 31 | :param instance: Instance to be solved by the heuristic 32 | :type instance: JobShopInstance 33 | 34 | :returns: the solver result of the execution of the heuristic 35 | :rtype: Problem.SolveResult 36 | 37 | 38 | 39 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/solvers/dispatch_heuristic/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.solvers.dispatch_heuristic` 2 | ==================================================== 3 | 4 | .. py:module:: pyscheduling.JS.solvers.dispatch_heuristic 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.solvers.dispatch_heuristic.DispatchHeuristic 16 | 17 | 18 | 19 | 20 | .. py:class:: DispatchHeuristic 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: rule 28 | :annotation: :Callable 29 | 30 | 31 | 32 | .. py:attribute:: reverse 33 | :annotation: :bool = False 34 | 35 | 36 | 37 | .. py:method:: solve(instance: pyscheduling.JS.JobShop.JobShopInstance) 38 | 39 | the ordered greedy constructive heuristic to find an initial solution of RmSijkCmax problem minimalizing the factor of (processing time + setup time) of 40 | jobs in the given order on different machines 41 | 42 | :param instance: Instance to be solved by the heuristic 43 | :type instance: JobShopInstance 44 | :param remaining_jobs: specific job sequence to consider by the heuristic 45 | :type remaining_jobs: list[int],optional 46 | :param is_random: shuffle the remaining_jobs_list if it's generated by the heuristic 47 | :type is_random: bool,optional 48 | 49 | :returns: the solver result of the execution of the heuristic 50 | :rtype: Problem.SolveResult 51 | 52 | 53 | 54 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/solvers/grasp/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.solvers.grasp` 2 | ======================================= 3 | 4 | .. py:module:: pyscheduling.JS.solvers.grasp 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.JS.solvers.grasp.GRASP 16 | 17 | 18 | 19 | 20 | .. py:class:: GRASP 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: p 28 | :annotation: :float = 0.5 29 | 30 | 31 | 32 | .. py:attribute:: r 33 | :annotation: :float = 0.5 34 | 35 | 36 | 37 | .. py:attribute:: n_iterations 38 | :annotation: :int = 5 39 | 40 | 41 | 42 | .. py:method:: solve(instance: pyscheduling.JS.JobShop.JobShopInstance) 43 | 44 | Returns the solution using the Greedy randomized adaptive search procedure algorithm 45 | :param instance: The instance to be solved by the heuristic 46 | :type instance: SingleInstance 47 | :param p: probability of taking the greedy best solution 48 | :type p: float 49 | :param r: percentage of moves to consider to select the best move 50 | :type r: int 51 | :param nb_exec: Number of execution of the heuristic 52 | :type nb_exec: int 53 | 54 | :returns: the solver result of the execution of the heuristic 55 | :rtype: Problem.SolveResult 56 | 57 | 58 | 59 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/JS/solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.JS.solvers` 2 | ================================= 3 | 4 | .. py:module:: pyscheduling.JS.solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | biba/index.rst 14 | dispatch_heuristic/index.rst 15 | grasp/index.rst 16 | 17 | 18 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP` 2 | =========================== 3 | 4 | .. py:module:: pyscheduling.PMSP 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | solvers/index.rst 14 | 15 | 16 | Submodules 17 | ---------- 18 | .. toctree:: 19 | :titlesonly: 20 | :maxdepth: 1 21 | 22 | ParallelMachines/index.rst 23 | RmSijkCmax/index.rst 24 | RmriSijkCmax/index.rst 25 | RmriSijkWiCi/index.rst 26 | RmriSijkWiFi/index.rst 27 | RmridiSijkWiTi/index.rst 28 | interface/index.rst 29 | 30 | 31 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/biba/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.biba` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.biba 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.biba.BIBA 16 | 17 | 18 | 19 | 20 | .. py:class:: BIBA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: solve(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance) 28 | 29 | the greedy constructive heuristic (Best insertion based approach) to find an initial solution of a PMSP. 30 | 31 | :param instance: Instance to be solved by the heuristic 32 | :type instance: ParallelInstance 33 | 34 | :returns: the solver result of the execution of the heuristic 35 | :rtype: Problem.SolveResult 36 | 37 | 38 | 39 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/genetic_algorithm/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.genetic_algorithm` 2 | ===================================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.genetic_algorithm 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.genetic_algorithm.GeneticAlgorithm 16 | 17 | 18 | 19 | 20 | .. py:class:: GeneticAlgorithm 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: pop_size 28 | :annotation: :int = 50 29 | 30 | 31 | 32 | .. py:attribute:: p_cross 33 | :annotation: :float = 0.7 34 | 35 | 36 | 37 | .. py:attribute:: p_mut 38 | :annotation: :float = 0.5 39 | 40 | 41 | 42 | .. py:attribute:: p_ls 43 | :annotation: :float = 1 44 | 45 | 46 | 47 | .. py:attribute:: pressure 48 | :annotation: :int = 30 49 | 50 | 51 | 52 | .. py:attribute:: n_iterations 53 | :annotation: :int = 100 54 | 55 | 56 | 57 | .. py:method:: solve(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance) 58 | 59 | 60 | .. py:method:: generate_population(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance, pop_size=40, LS=True) 61 | 62 | 63 | .. py:method:: selection(population, pressure) 64 | 65 | 66 | .. py:method:: crossover(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance, parent_1, parent_2) 67 | 68 | 69 | .. py:method:: mutation(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance, child: pyscheduling.PMSP.ParallelMachines.ParallelSolution) 70 | 71 | 72 | .. py:method:: complete_solution(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance, parent, child: pyscheduling.PMSP.ParallelMachines.ParallelSolution) 73 | 74 | 75 | .. py:method:: replacement(population, child) 76 | 77 | 78 | 79 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/grasp/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.grasp` 2 | ========================================= 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.grasp 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.grasp.GRASP 16 | 17 | 18 | 19 | 20 | .. py:class:: GRASP 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: p 28 | :annotation: :float = 0.5 29 | 30 | 31 | 32 | .. py:attribute:: r 33 | :annotation: :int = 0.5 34 | 35 | 36 | 37 | .. py:attribute:: n_iterations 38 | :annotation: :int = 5 39 | 40 | 41 | 42 | .. py:method:: solve(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance) 43 | 44 | Returns the solution using the Greedy randomized adaptive search procedure algorithm 45 | 46 | :param instance: The instance to be solved by the metaheuristic 47 | :type instance: ParallelInstance 48 | 49 | :returns: the solver result of the execution of the metaheuristic 50 | :rtype: Problem.SolveResult 51 | 52 | 53 | 54 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers` 2 | =================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | ant_colony/index.rst 14 | biba/index.rst 15 | genetic_algorithm/index.rst 16 | grasp/index.rst 17 | lahc/index.rst 18 | ordered_constructive/index.rst 19 | sa/index.rst 20 | 21 | 22 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/lahc/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.lahc` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.lahc 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.lahc.LAHC 16 | 17 | 18 | 19 | 20 | .. py:class:: LAHC 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseLAHC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/ordered_constructive/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.ordered_constructive` 2 | ======================================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.ordered_constructive 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.ordered_constructive.OrderedConstructive 16 | 17 | 18 | 19 | 20 | .. py:class:: OrderedConstructive 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: remaining_jobs_list 28 | :annotation: :List 29 | 30 | 31 | 32 | .. py:attribute:: is_random 33 | :annotation: :bool = False 34 | 35 | 36 | 37 | .. py:method:: solve(instance: pyscheduling.PMSP.ParallelMachines.ParallelInstance) 38 | 39 | the ordered greedy constructive heuristic to find an initial solution of RmSijkCmax problem minimalizing the factor of (processing time + setup time) of 40 | jobs in the given order on different machines 41 | 42 | :param instance: Instance to be solved by the heuristic 43 | :type instance: pm.ParallelInstance 44 | 45 | :returns: the solver result of the execution of the heuristic 46 | :rtype: Problem.SolveResult 47 | 48 | 49 | 50 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/PMSP/solvers/sa/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.PMSP.solvers.sa` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.PMSP.solvers.sa 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.PMSP.solvers.sa.SA 16 | 17 | 18 | 19 | 20 | .. py:class:: SA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSA` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP` 2 | =========================== 3 | 4 | .. py:module:: pyscheduling.SMSP 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | solvers/index.rst 14 | 15 | 16 | Submodules 17 | ---------- 18 | .. toctree:: 19 | :titlesonly: 20 | :maxdepth: 1 21 | 22 | Constraints/index.rst 23 | SingleMachine/index.rst 24 | interface/index.rst 25 | riPrecLmax/index.rst 26 | rihiCi/index.rst 27 | risijCmax/index.rst 28 | risijwiCi/index.rst 29 | risijwiFi/index.rst 30 | risijwiTi/index.rst 31 | riwiCi/index.rst 32 | riwiTi/index.rst 33 | sijCmax/index.rst 34 | sijwiTi/index.rst 35 | wiCi/index.rst 36 | wiTi/index.rst 37 | 38 | 39 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/risijCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.risijCmax` 2 | ===================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.risijCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.risijCmax.risijCmax_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: risijCmax_Instance(n: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.SMSP.SingleMachine.SingleInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[int] 29 | 30 | 31 | 32 | .. py:attribute:: R 33 | :annotation: :List[int] 34 | 35 | 36 | 37 | .. py:attribute:: S 38 | :annotation: :List[List[int]] 39 | 40 | 41 | 42 | .. py:attribute:: constraints 43 | :annotation: :ClassVar[List[pyscheduling.SMSP.SingleMachine.Constraints]] 44 | 45 | 46 | 47 | .. py:attribute:: objective 48 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 49 | 50 | 51 | 52 | .. py:attribute:: init_sol_method 53 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 54 | 55 | 56 | 57 | 58 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/risijwiCi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.risijwiCi` 2 | ===================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.risijwiCi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.risijwiCi.risijwiCi_Instance 16 | pyscheduling.SMSP.risijwiCi.ListHeuristic 17 | 18 | 19 | 20 | 21 | .. py:class:: risijwiCi_Instance(n: int, name: str = 'Unknown', **kwargs) 22 | 23 | Bases: :py:obj:`pyscheduling.SMSP.SingleMachine.SingleInstance` 24 | 25 | Helper class that provides a standard way to create an ABC using 26 | inheritance. 27 | 28 | .. py:attribute:: P 29 | :annotation: :List[int] 30 | 31 | 32 | 33 | .. py:attribute:: W 34 | :annotation: :List[int] 35 | 36 | 37 | 38 | .. py:attribute:: R 39 | :annotation: :List[int] 40 | 41 | 42 | 43 | .. py:attribute:: D 44 | :annotation: :List[int] 45 | 46 | 47 | 48 | .. py:attribute:: S 49 | :annotation: :List[List[int]] 50 | 51 | 52 | 53 | .. py:attribute:: constraints 54 | :annotation: :ClassVar[List[pyscheduling.SMSP.SingleMachine.Constraints]] 55 | 56 | 57 | 58 | .. py:attribute:: objective 59 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 60 | 61 | 62 | 63 | .. py:attribute:: init_sol_method 64 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 65 | 66 | 67 | 68 | 69 | .. py:class:: ListHeuristic 70 | 71 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 72 | 73 | Helper class that provides a standard way to create an ABC using 74 | inheritance. 75 | 76 | .. py:attribute:: rule_number 77 | :annotation: :int = 1 78 | 79 | 80 | 81 | .. py:attribute:: reverse 82 | :annotation: :bool = False 83 | 84 | 85 | 86 | .. py:method:: solve(instance: risijwiCi_Instance) 87 | 88 | contains a list of static dispatching rules to be chosen from 89 | 90 | :param instance: Instance to be solved 91 | :type instance: riwiCi_Instance 92 | 93 | :returns: SolveResult of the instance by the method 94 | :rtype: RootProblem.SolveResult 95 | 96 | 97 | 98 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/sijCmax/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.sijCmax` 2 | =================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.sijCmax 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.sijCmax.sijCmax_Instance 16 | 17 | 18 | 19 | 20 | .. py:class:: sijCmax_Instance(n: int, name: str = 'Unknown', **kwargs) 21 | 22 | Bases: :py:obj:`pyscheduling.SMSP.SingleMachine.SingleInstance` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: P 28 | :annotation: :List[int] 29 | 30 | 31 | 32 | .. py:attribute:: S 33 | :annotation: :List[List[int]] 34 | 35 | 36 | 37 | .. py:attribute:: constraints 38 | :annotation: :ClassVar[List[pyscheduling.SMSP.SingleMachine.Constraints]] 39 | 40 | 41 | 42 | .. py:attribute:: objective 43 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 44 | 45 | 46 | 47 | .. py:attribute:: init_sol_method 48 | :annotation: :pyscheduling.core.base_solvers.BaseSolver 49 | 50 | 51 | 52 | 53 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/biba/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.biba` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.biba 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.biba.BIBA 16 | 17 | 18 | 19 | 20 | .. py:class:: BIBA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: solve(instance: pyscheduling.SMSP.SingleMachine.SingleInstance) 28 | 29 | Returns the solution according to the best insertion based approach algorithm (GECCO Article) 30 | 31 | :param instance: SMSP instance to be solved 32 | :type instance: SingleMachine.SingleInstance 33 | 34 | :returns: the solve result of the execution of the heuristic 35 | :rtype: SolveResult 36 | 37 | 38 | 39 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/dispatch_heuristic/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.dispatch_heuristic` 2 | ====================================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.dispatch_heuristic 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.dispatch_heuristic.DispatchHeuristic 16 | 17 | 18 | 19 | 20 | .. py:class:: DispatchHeuristic 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: rule 28 | :annotation: :Callable 29 | 30 | 31 | 32 | .. py:attribute:: reverse 33 | :annotation: :bool = False 34 | 35 | 36 | 37 | .. py:method:: solve(instance: pyscheduling.SMSP.SingleMachine.SingleInstance) 38 | 39 | Orders the jobs according to the rule (lambda function) and returns the schedule accordignly 40 | 41 | :param instance: Instance to be solved 42 | :type instance: SingleInstance 43 | 44 | :returns: SolveResult of the instance by the method 45 | :rtype: RootProblem.SolveResult 46 | 47 | 48 | 49 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/dynamic_dispatch_heuristic/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.dynamic_dispatch_heuristic` 2 | ============================================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.dynamic_dispatch_heuristic 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.dynamic_dispatch_heuristic.DynamicDispatchHeuristic 16 | 17 | 18 | 19 | 20 | .. py:class:: DynamicDispatchHeuristic 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: rule 28 | :annotation: :Callable 29 | 30 | 31 | 32 | .. py:attribute:: filter 33 | :annotation: :Callable 34 | 35 | 36 | 37 | .. py:attribute:: reverse 38 | :annotation: :bool = False 39 | 40 | 41 | 42 | .. py:method:: solve(instance: pyscheduling.SMSP.SingleMachine.SingleInstance) 43 | 44 | Orders the jobs respecting the filter according to the rule. 45 | The order is dynamic since it is determined each time a new job is inserted 46 | 47 | :param instance: Instance to be solved 48 | :type instance: SingleInstance 49 | :param rule: a lambda function that defines the sorting criteria taking the instance and job_id as the parameters 50 | :type rule: Callable 51 | :param filter: a lambda function that defines a filter condition taking the instance, job_id and current time as the parameters 52 | :type filter: Callable 53 | :param reverse: flag to sort in decreasing order. Defaults to False. 54 | :type reverse: bool, optional 55 | 56 | :returns: SolveResult of the instance by the method 57 | :rtype: RootProblem.SolveResult 58 | 59 | 60 | 61 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/grasp/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.grasp` 2 | ========================================= 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.grasp 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.grasp.GRASP 16 | 17 | 18 | 19 | 20 | .. py:class:: GRASP 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: p 28 | :annotation: :float = 0.5 29 | 30 | 31 | 32 | .. py:attribute:: r 33 | :annotation: :int = 0.5 34 | 35 | 36 | 37 | .. py:attribute:: n_iterations 38 | :annotation: :int = 5 39 | 40 | 41 | 42 | .. py:method:: solve(instance: pyscheduling.SMSP.SingleMachine.SingleInstance) 43 | 44 | Returns the solution using the Greedy randomized adaptive search procedure algorithm 45 | 46 | :param instance: The instance to be solved by the heuristic 47 | :type instance: SingleInstance 48 | 49 | :returns: the solver result of the execution of the heuristic 50 | :rtype: Problem.SolveResult 51 | 52 | 53 | 54 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers` 2 | =================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | biba/index.rst 14 | csp/index.rst 15 | dispatch_heuristic/index.rst 16 | dynamic_dispatch_heuristic/index.rst 17 | grasp/index.rst 18 | lahc/index.rst 19 | sa/index.rst 20 | 21 | 22 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/lahc/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.lahc` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.lahc 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.lahc.LAHC 16 | 17 | 18 | 19 | 20 | .. py:class:: LAHC 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseLAHC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/solvers/sa/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.solvers.sa` 2 | ====================================== 3 | 4 | .. py:module:: pyscheduling.SMSP.solvers.sa 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.solvers.sa.SA 16 | 17 | 18 | 19 | 20 | .. py:class:: SA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSA` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | 38 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/SMSP/wiCi/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.SMSP.wiCi` 2 | ================================ 3 | 4 | .. py:module:: pyscheduling.SMSP.wiCi 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.SMSP.wiCi.wiCi_Instance 16 | pyscheduling.SMSP.wiCi.WSPT 17 | 18 | 19 | 20 | 21 | .. py:class:: wiCi_Instance(n: int, name: str = 'Unknown', **kwargs) 22 | 23 | Bases: :py:obj:`pyscheduling.SMSP.SingleMachine.SingleInstance` 24 | 25 | Helper class that provides a standard way to create an ABC using 26 | inheritance. 27 | 28 | .. py:attribute:: P 29 | :annotation: :List[int] 30 | 31 | 32 | 33 | .. py:attribute:: W 34 | :annotation: :List[int] 35 | 36 | 37 | 38 | .. py:attribute:: constraints 39 | :annotation: :ClassVar[List[pyscheduling.SMSP.SingleMachine.Constraints]] 40 | 41 | 42 | 43 | .. py:attribute:: objective 44 | :annotation: :ClassVar[pyscheduling.Problem.Objective] 45 | 46 | 47 | 48 | .. py:method:: init_sol_method() 49 | :property: 50 | 51 | 52 | 53 | .. py:class:: WSPT 54 | 55 | Bases: :py:obj:`pyscheduling.core.base_solvers.BaseSolver` 56 | 57 | Helper class that provides a standard way to create an ABC using 58 | inheritance. 59 | 60 | .. py:method:: solve(instance: wiCi_Instance) 61 | 62 | Weighted Shortest Processing Time is Optimal for wiCi problem. A proof by contradiction can simply be found 63 | by performing an adjacent jobs interchange 64 | 65 | :param instance: Instance to be solved 66 | :type instance: wiCi_Instance 67 | 68 | :returns: SolveResult of the instance by the method. 69 | :rtype: RootProblem.SolveResult 70 | 71 | 72 | 73 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/base_solvers/base_lahc/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.base_solvers.base_lahc` 2 | ================================================== 3 | 4 | .. py:module:: pyscheduling.core.base_solvers.base_lahc 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.base_solvers.base_lahc.BaseLAHC 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseLAHC 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.base_solver.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | .. py:attribute:: time_limit_factor 38 | :annotation: :float 39 | 40 | 41 | 42 | .. py:attribute:: init_sol_method 43 | :annotation: :pyscheduling.core.base_solvers.base_solver.BaseSolver 44 | 45 | 46 | 47 | .. py:attribute:: history_list_size 48 | :annotation: :int 49 | 50 | 51 | 52 | .. py:attribute:: n_iterations 53 | :annotation: :int 54 | 55 | 56 | 57 | .. py:attribute:: non_improv 58 | :annotation: :int 59 | 60 | 61 | 62 | .. py:attribute:: use_local_search 63 | :annotation: :bool 64 | 65 | 66 | 67 | .. py:attribute:: random_seed 68 | :annotation: :int 69 | 70 | 71 | 72 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 73 | 74 | Returns the solution using the LAHC algorithm 75 | 76 | :param instance: Instance object to solve 77 | :type instance: ParallelInstance 78 | 79 | :returns: the solver result of the execution of the metaheuristic 80 | :rtype: Problem.SolveResult 81 | 82 | 83 | 84 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/base_solvers/base_sa/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.base_solvers.base_sa` 2 | ================================================ 3 | 4 | .. py:module:: pyscheduling.core.base_solvers.base_sa 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.base_solvers.base_sa.BaseSA 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseSA 21 | 22 | Bases: :py:obj:`pyscheduling.core.base_solvers.base_solver.BaseSolver` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: ls_procedure 28 | :annotation: :pyscheduling.Problem.LocalSearch 29 | 30 | 31 | 32 | .. py:attribute:: generate_neighbour 33 | :annotation: :Callable 34 | 35 | 36 | 37 | .. py:attribute:: time_limit_factor 38 | :annotation: :float 39 | 40 | 41 | 42 | .. py:attribute:: init_sol_method 43 | :annotation: :pyscheduling.core.base_solvers.base_solver.BaseSolver 44 | 45 | 46 | 47 | .. py:attribute:: init_temp 48 | :annotation: :float 49 | 50 | 51 | 52 | .. py:attribute:: final_temp 53 | :annotation: :float 54 | 55 | 56 | 57 | .. py:attribute:: k 58 | :annotation: :float 59 | 60 | 61 | 62 | .. py:attribute:: cooling_factor 63 | :annotation: :float 64 | 65 | 66 | 67 | .. py:attribute:: n_iterations 68 | :annotation: :int 69 | 70 | 71 | 72 | .. py:attribute:: non_improv 73 | :annotation: :int 74 | 75 | 76 | 77 | .. py:attribute:: use_local_search 78 | :annotation: :bool 79 | 80 | 81 | 82 | .. py:attribute:: random_seed 83 | :annotation: :int 84 | 85 | 86 | 87 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 88 | 89 | Returns the solution using the simulated annealing algorithm or the restricted simulated annealing algorithm 90 | 91 | :param instance: Instance object to solve 92 | :type instance: ParallelInstance 93 | 94 | :returns: the solver result of the execution of the metaheuristic 95 | :rtype: Problem.SolveResult 96 | 97 | 98 | 99 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/base_solvers/base_solver/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.base_solvers.base_solver` 2 | ==================================================== 3 | 4 | .. py:module:: pyscheduling.core.base_solvers.base_solver 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.base_solvers.base_solver.BaseSolver 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseSolver 21 | 22 | Bases: :py:obj:`abc.ABC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: listeners 28 | :annotation: :List[pyscheduling.core.listeners.BaseListener] 29 | 30 | 31 | 32 | .. py:attribute:: solve_result 33 | :annotation: :pyscheduling.Problem.SolveResult 34 | 35 | 36 | 37 | .. py:method:: attach_listeners(*listeners: pyscheduling.core.listeners.BaseListener) 38 | 39 | Subscribe a list of listeners to the solving process 40 | 41 | :raises TypeError: if one of the passed arguments is not a subclass of BaseListener 42 | 43 | 44 | .. py:method:: add_solution(new_solution: pyscheduling.Problem.BaseSolution, time_found: int) 45 | 46 | Adds the new found solution to the solve_result and compute the current timestamp 47 | 48 | :param new_solution: Found solution 49 | :type new_solution: Solution 50 | :param time_found: Timestamp of the moment the solution was found 51 | :type time_found: int 52 | 53 | 54 | .. py:method:: notify_on_start() 55 | 56 | Notify the subscribed listeners of the start of the solve process 57 | 58 | 59 | 60 | .. py:method:: notify_on_complete() 61 | 62 | Notify the subscribed listeners of the end of the solve process 63 | 64 | 65 | 66 | .. py:method:: notify_on_solution_found(new_solution: pyscheduling.Problem.BaseSolution) 67 | 68 | Notify the subscribe listeners of the new found solution 69 | 70 | :param new_solution: Found solution 71 | :type new_solution: BaseSolution 72 | 73 | 74 | .. py:method:: solve(instance: pyscheduling.Problem.BaseInstance) 75 | :abstractmethod: 76 | 77 | 78 | 79 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/base_solvers/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.base_solvers` 2 | ======================================== 3 | 4 | .. py:module:: pyscheduling.core.base_solvers 5 | 6 | 7 | Submodules 8 | ---------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 1 12 | 13 | base_BB/index.rst 14 | base_lahc/index.rst 15 | base_sa/index.rst 16 | base_solver/index.rst 17 | 18 | 19 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core` 2 | =========================== 3 | 4 | .. py:module:: pyscheduling.core 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | base_solvers/index.rst 14 | listeners/index.rst 15 | 16 | 17 | Submodules 18 | ---------- 19 | .. toctree:: 20 | :titlesonly: 21 | :maxdepth: 1 22 | 23 | BaseConstraints/index.rst 24 | benchmark/index.rst 25 | 26 | 27 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/listeners/BaseListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.listeners.BaseListener` 2 | ================================================== 3 | 4 | .. py:module:: pyscheduling.core.listeners.BaseListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.listeners.BaseListener.BaseListener 16 | 17 | 18 | 19 | 20 | .. py:class:: BaseListener 21 | 22 | Bases: :py:obj:`abc.ABC` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: solve_result 28 | :annotation: :pyscheduling.Problem.SolveResult 29 | 30 | 31 | 32 | .. py:attribute:: _start_time 33 | :annotation: :int 34 | 35 | 36 | 37 | .. py:attribute:: _end_time 38 | :annotation: :int 39 | 40 | 41 | 42 | .. py:attribute:: _total_time 43 | :annotation: :int 44 | 45 | 46 | 47 | .. py:attribute:: _nb_sol 48 | :annotation: :int 49 | 50 | 51 | 52 | .. py:method:: check_best_sol(solution) 53 | 54 | Check if the new solution is the best found so far 55 | 56 | :param solution: Found solution 57 | :type solution: BaseSolution 58 | 59 | :returns: True if it is the best so far. False otherwise. 60 | :rtype: bool 61 | 62 | 63 | .. py:method:: on_start(solve_result, start_time) 64 | 65 | Start Listening to the solve provess 66 | 67 | :param solve_result: Solve result containing the solutions and other metrics 68 | :type solve_result: SolveResult 69 | :param start_time: timestamp of the start of the solve process 70 | :type start_time: int 71 | 72 | 73 | .. py:method:: on_complete(end_time) 74 | 75 | Finish listerning to the solve process 76 | 77 | :param end_time: timestamp of the end of the solve process 78 | :type end_time: int 79 | 80 | 81 | .. py:method:: on_solution_found(new_solution, time_found) 82 | :abstractmethod: 83 | 84 | Callback to finding a solution 85 | 86 | :param new_solution: Found solution 87 | :type new_solution: BaseSolution 88 | :param time_found: timestamp of the moment the solution was found 89 | :type time_found: int 90 | 91 | 92 | 93 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/listeners/CSVListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.listeners.CSVListener` 2 | ================================================= 3 | 4 | .. py:module:: pyscheduling.core.listeners.CSVListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.listeners.CSVListener.CSVListener 16 | 17 | 18 | 19 | 20 | .. py:class:: CSVListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: file_path 28 | :annotation: :pathlib.Path 29 | 30 | 31 | 32 | .. py:attribute:: _file 33 | :annotation: :TextIO 34 | 35 | 36 | 37 | .. py:method:: on_start(solve_result, start_time) 38 | 39 | Called at the start of the algorithm 40 | 41 | :param start_time: time to start recording results 42 | :type start_time: int 43 | 44 | 45 | .. py:method:: on_complete(end_time) 46 | 47 | Called at the end of the algorithm 48 | 49 | :param end_time: time at the end of the algorithm 50 | :type end_time: int 51 | 52 | 53 | .. py:method:: on_solution_found(new_solution, time_found) 54 | 55 | Called each time a new solution is found 56 | 57 | :param new_solution: the solution found 58 | :param time_found: the time a solution is found 59 | 60 | 61 | 62 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/listeners/FileListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.listeners.FileListener` 2 | ================================================== 3 | 4 | .. py:module:: pyscheduling.core.listeners.FileListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.listeners.FileListener.FileListener 16 | 17 | 18 | 19 | 20 | .. py:class:: FileListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:attribute:: file_path 28 | :annotation: :pathlib.Path 29 | 30 | 31 | 32 | .. py:attribute:: _file 33 | :annotation: :TextIO 34 | 35 | 36 | 37 | .. py:method:: on_start(solve_result, start_time) 38 | 39 | Called at the start of the algorithm 40 | 41 | :param start_time: time to start recording results 42 | :type start_time: int 43 | 44 | 45 | .. py:method:: on_complete(end_time) 46 | 47 | Called at the end of the algorithm 48 | 49 | :param end_time: time at the end of the algorithm 50 | :type end_time: int 51 | 52 | 53 | .. py:method:: on_solution_found(new_solution, time_found) 54 | 55 | Called each time a new solution is found 56 | 57 | :param new_solution: the solution found 58 | :param time_found: the time a solution is found 59 | 60 | 61 | 62 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/core/listeners/PlotListener/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.core.listeners.PlotListener` 2 | ================================================== 3 | 4 | .. py:module:: pyscheduling.core.listeners.PlotListener 5 | 6 | 7 | Module Contents 8 | --------------- 9 | 10 | Classes 11 | ~~~~~~~ 12 | 13 | .. autoapisummary:: 14 | 15 | pyscheduling.core.listeners.PlotListener.PlotListener 16 | 17 | 18 | 19 | 20 | .. py:class:: PlotListener 21 | 22 | Bases: :py:obj:`pyscheduling.core.listeners.BaseListener` 23 | 24 | Helper class that provides a standard way to create an ABC using 25 | inheritance. 26 | 27 | .. py:method:: on_start(solve_result, start_time) 28 | 29 | Start Listening to the solve provess 30 | 31 | :param solve_result: Solve result containing the solutions and other metrics 32 | :type solve_result: SolveResult 33 | :param start_time: timestamp of the start of the solve process 34 | :type start_time: int 35 | 36 | 37 | .. py:method:: on_complete(end_time) 38 | 39 | Finish listerning to the solve process 40 | 41 | :param end_time: timestamp of the end of the solve process 42 | :type end_time: int 43 | 44 | 45 | .. py:method:: on_solution_found(new_solution, time_found) 46 | 47 | Callback to finding a solution 48 | 49 | :param new_solution: Found solution 50 | :type new_solution: BaseSolution 51 | :param time_found: timestamp of the moment the solution was found 52 | :type time_found: int 53 | 54 | 55 | 56 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling` 2 | ====================== 3 | 4 | .. py:module:: pyscheduling 5 | 6 | 7 | Subpackages 8 | ----------- 9 | .. toctree:: 10 | :titlesonly: 11 | :maxdepth: 3 12 | 13 | FS/index.rst 14 | JS/index.rst 15 | PMSP/index.rst 16 | SMSP/index.rst 17 | core/index.rst 18 | 19 | 20 | Submodules 21 | ---------- 22 | .. toctree:: 23 | :titlesonly: 24 | :maxdepth: 1 25 | 26 | Problem/index.rst 27 | pyscheduling/index.rst 28 | 29 | 30 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/autoapi/pyscheduling/pyscheduling/index.rst.txt: -------------------------------------------------------------------------------- 1 | :py:mod:`pyscheduling.pyscheduling` 2 | =================================== 3 | 4 | .. py:module:: pyscheduling.pyscheduling 5 | 6 | 7 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/examples/SMSP_example.ipynb.txt: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Single Machine Sample" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "We start by importing the corresponding jobshop problem module as following :" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 6, 20 | "metadata": {}, 21 | "outputs": [], 22 | "source": [ 23 | "%load_ext autoreload\n", 24 | "%autoreload 2\n", 25 | "import pyscheduling.SMSP.riwiCi as smsp_ri" 26 | ] 27 | }, 28 | { 29 | "cell_type": "markdown", 30 | "metadata": {}, 31 | "source": [ 32 | "We can either import the instance from a text file or randomly generate it." 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": null, 38 | "metadata": {}, 39 | "outputs": [], 40 | "source": [ 41 | "instance = smsp_ri.riwiCi_Instance.generate_random(50,Wmax=10,Pmin=1, Pmax=50,Alpha=100)\n", 42 | "instance.to_txt(\"deleteMe.txt\")" 43 | ] 44 | }, 45 | { 46 | "cell_type": "markdown", 47 | "metadata": {}, 48 | "source": [ 49 | "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": null, 55 | "metadata": {}, 56 | "outputs": [], 57 | "source": [ 58 | "solution = smsp_ri.Heuristics.WSECi(instance)\n", 59 | "print(solution)" 60 | ] 61 | } 62 | ], 63 | "metadata": { 64 | "kernelspec": { 65 | "display_name": "Python 3.9.12 ('pyscheduling')", 66 | "language": "python", 67 | "name": "python3" 68 | }, 69 | "language_info": { 70 | "codemirror_mode": { 71 | "name": "ipython", 72 | "version": 3 73 | }, 74 | "file_extension": ".py", 75 | "mimetype": "text/x-python", 76 | "name": "python", 77 | "nbconvert_exporter": "python", 78 | "pygments_lexer": "ipython3", 79 | "version": "3.9.12" 80 | }, 81 | "orig_nbformat": 4, 82 | "vscode": { 83 | "interpreter": { 84 | "hash": "fa7cdbb78ab82d427a6b02c171e3c48e0658c2b720f18feff16576a8f3200f32" 85 | } 86 | } 87 | }, 88 | "nbformat": 4, 89 | "nbformat_minor": 2 90 | } 91 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/getting_started.rst.txt: -------------------------------------------------------------------------------- 1 | .. _getting_started: 2 | 3 | =============== 4 | Getting started 5 | =============== 6 | 7 | The python package to solve scheduling problems of all categories (Single machine, Parallel machines, Flowshop and Jobshop) under different constraints combination. 8 | 9 | Python version support 10 | ====================== 11 | 12 | The use of **pyscheduling** requires a minimum python version of 3.9 to allow the type hinting. 13 | 14 | 15 | Installation 16 | ============ 17 | 18 | .. panels:: 19 | :card: + install-card 20 | :column: col-12 p-3 21 | 22 | Installing stable release (v0.1.3) 23 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 24 | 25 | pyscheduling can be installed via pip from `PyPI `__. 26 | 27 | ++++++++++++++++++++++ 28 | 29 | .. code-block:: bash 30 | 31 | pip install pyscheduling 32 | 33 | Basic example 34 | ============ 35 | 36 | .. panels:: 37 | :column: col-12 p-3 38 | 39 | The following is a basic code example of how to use **pyscheduling** where we create a single machine problem consisting of minimizing the total weighted lateness. 40 | 41 | ++++++++++++++++++++++ 42 | 43 | .. code-block:: bash 44 | 45 | import pyscheduling.SMSP.interface as sm 46 | 47 | problem = sm.Problem() 48 | problem.add_constraints([sm.Constraints.W,sm.Constraints.D]) 49 | problem.set_objective(sm.Objective.wiTi) 50 | problem.generate_random(jobs_number=20,Wmax=10) 51 | solution = problem.solve(problem.heuristics["ACT"]) 52 | print(solution) 53 | 54 | --- 55 | :column: col-lg-6 col-md-6 col-sm-12 col-xs-12 p-3 56 | 57 | How to use pyscheduling? 58 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 59 | 60 | See examples of use here : 61 | 62 | .. link-button:: samples.html 63 | :type: url 64 | :text: Examples 65 | :classes: btn-secondary stretched-link 66 | 67 | --- 68 | :column: col-lg-6 col-md-6 col-sm-12 col-xs-12 p-3 69 | 70 | API reference 71 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 72 | 73 | Full code documentation here : 74 | 75 | .. link-button:: autoapi/index.html 76 | :type: url 77 | :text: API reference 78 | :classes: btn-secondary stretched-link -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/index.rst.txt: -------------------------------------------------------------------------------- 1 | .. pyscheduling documentation master file, created by 2 | sphinx-quickstart on Wed Sep 7 14:28:40 2022. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to pyscheduling's documentation! 7 | =========================================== 8 | 9 | .. toctree:: 10 | :maxdepth: 3 11 | :hidden: 12 | :titlesonly: 13 | 14 | getting_started 15 | samples 16 | autoapi/index 17 | 18 | 19 | .. panels:: 20 | :card: + intro-card text-center 21 | :column: col-lg-4 col-md-3 col-sm-6 col-xs-6 d-flex 22 | 23 | --- 24 | :img-top: _static/getting_started.svg 25 | 26 | Getting started 27 | ^^^^^^^^^^^^^^^ 28 | 29 | A quick introduction to pyscheduling basic concepts, from installation 30 | to your first scheduling problem solver. 31 | 32 | +++ 33 | 34 | .. link-button:: getting_started 35 | :type: ref 36 | :text: Getting started guide 37 | :classes: btn-block btn-secondary stretched-link 38 | 39 | --- 40 | :img-top: _static/samples.svg 41 | 42 | Examples 43 | ^^^^^^^^^^^^^^^ 44 | 45 | Some code samples to show how to use pyscheduling 46 | 47 | +++ 48 | 49 | .. link-button:: samples 50 | :type: ref 51 | :text: Explore samples 52 | :classes: btn-block btn-secondary stretched-link 53 | 54 | --- 55 | :img-top: _static/api.svg 56 | 57 | API reference 58 | ^^^^^^^^^^^^^ 59 | 60 | The pyscheduling API documentation, with detailed descriptions of all 61 | its components. 62 | 63 | +++ 64 | 65 | .. link-button:: autoapi/index 66 | :type: ref 67 | :text: Reference guide 68 | :classes: btn-block btn-secondary stretched-link 69 | 70 | 71 | Indices and tables 72 | ================== 73 | 74 | * :ref:`genindex` 75 | * :ref:`modindex` 76 | * :ref:`search` 77 | -------------------------------------------------------------------------------- /docs/documentation/_build/_sources/samples.rst.txt: -------------------------------------------------------------------------------- 1 | .. _samples: 2 | 3 | =============== 4 | Explore samples 5 | =============== 6 | 7 | 8 | .. toctree:: 9 | :maxdepth: 2 10 | :caption: Content: 11 | 12 | examples/SMSP_example.ipynb 13 | examples/PMSP_example.ipynb 14 | examples/JS_example.ipynb 15 | examples/FS_example.ipynb 16 | examples/SMSP_Interface_example.ipynb 17 | examples/benchmark_example.ipynb -------------------------------------------------------------------------------- /docs/documentation/_build/_static/check-solid.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | -------------------------------------------------------------------------------- /docs/documentation/_build/_static/copy-button.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /docs/documentation/_build/_static/css/pyscheduling.css: -------------------------------------------------------------------------------- 1 | /* Override some aspects of the pydata-sphinx-theme */ 2 | 3 | :root { 4 | /* Use softer blue from bootstrap's default info color */ 5 | --pst-color-info: 23, 162, 184; 6 | } 7 | 8 | /* Main index 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| "metadata": {}, 6 | "source": [ 7 | "# Single Machine Sample" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "We start by importing the corresponding jobshop problem module as following :" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 6, 20 | "metadata": {}, 21 | "outputs": [], 22 | "source": [ 23 | "%load_ext autoreload\n", 24 | "%autoreload 2\n", 25 | "import pyscheduling.SMSP.riwiCi as smsp_ri" 26 | ] 27 | }, 28 | { 29 | "cell_type": "markdown", 30 | "metadata": {}, 31 | "source": [ 32 | "We can either import the instance from a text file or randomly generate it." 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": null, 38 | "metadata": {}, 39 | "outputs": [], 40 | "source": [ 41 | "instance = smsp_ri.riwiCi_Instance.generate_random(50,Wmax=10,Pmin=1, Pmax=50,Alpha=100)\n", 42 | "instance.to_txt(\"deleteMe.txt\")" 43 | ] 44 | }, 45 | { 46 | "cell_type": "markdown", 47 | "metadata": {}, 48 | "source": [ 49 | "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": null, 55 | "metadata": {}, 56 | "outputs": [], 57 | "source": [ 58 | "solution = smsp_ri.Heuristics.WSECi(instance)\n", 59 | "print(solution)" 60 | ] 61 | } 62 | ], 63 | "metadata": { 64 | "kernelspec": { 65 | "display_name": "Python 3.9.12 ('pyscheduling')", 66 | "language": "python", 67 | "name": "python3" 68 | }, 69 | "language_info": { 70 | "codemirror_mode": { 71 | "name": "ipython", 72 | "version": 3 73 | }, 74 | "file_extension": ".py", 75 | "mimetype": "text/x-python", 76 | "name": "python", 77 | "nbconvert_exporter": "python", 78 | "pygments_lexer": "ipython3", 79 | "version": "3.9.12" 80 | }, 81 | "vscode": { 82 | "interpreter": { 83 | "hash": "fa7cdbb78ab82d427a6b02c171e3c48e0658c2b720f18feff16576a8f3200f32" 84 | } 85 | } 86 | }, 87 | "nbformat": 4, 88 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19 | } 20 | 21 | .intro-card .card-img-top { 22 | margin-left: -5px; 23 | height: 50px; 24 | } 25 | 26 | .intro-card .card-header { 27 | border: none; 28 | background-color:white; 29 | color: #150458 !important; 30 | font-size: var(--pst-font-size-h5); 31 | font-weight: bold; 32 | padding: 2.5rem 0rem 0.5rem 0rem; 33 | } 34 | 35 | .intro-card .card-footer { 36 | border: none; 37 | background-color:white; 38 | } 39 | 40 | .intro-card .card-footer p.card-text{ 41 | max-width: 220px; 42 | margin-left: auto; 43 | margin-right: auto; 44 | } -------------------------------------------------------------------------------- /docs/documentation/_static/pyscheduling_navbar.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scheduling-cc/pyscheduling/db0aff122874d309dc6c541237f4e39d82f20ba4/docs/documentation/_static/pyscheduling_navbar.png -------------------------------------------------------------------------------- /docs/documentation/conf.py: -------------------------------------------------------------------------------- 1 | # Configuration file for the Sphinx documentation builder. 2 | # 3 | # For the full list of built-in configuration values, see the documentation: 4 | # https://www.sphinx-doc.org/en/master/usage/configuration.html 5 | 6 | # -- Project information ----------------------------------------------------- 7 | # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information 8 | 9 | project = 'pyscheduling' 10 | copyright = '2023, scheduling-cc' 11 | author = 'scheduling-cc' 12 | 13 | # -- General configuration --------------------------------------------------- 14 | # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration 15 | 16 | extensions = ["nbsphinx", 17 | "autoapi.extension", 18 | "sphinx_panels", 19 | "sphinx_copybutton", 20 | "sphinx.ext.napoleon"] 21 | 22 | autoapi_dirs = ["../../src"] 23 | 24 | templates_path = ['_templates'] 25 | exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] 26 | 27 | # -- Options for HTML output ------------------------------------------------- 28 | # https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output 29 | 30 | html_logo = "_static/pyscheduling_navbar.png" 31 | 32 | html_theme = 'pydata_sphinx_theme' 33 | html_static_path = ['_static'] 34 | html_css_files = [ 35 | "css/pyscheduling.css", 36 | ] -------------------------------------------------------------------------------- /docs/documentation/examples/SMSP_example.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Single Machine Sample" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "We start by importing the corresponding jobshop problem module as following :" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 6, 20 | "metadata": {}, 21 | "outputs": [], 22 | "source": [ 23 | "%load_ext autoreload\n", 24 | "%autoreload 2\n", 25 | "import pyscheduling.SMSP.riwiCi as smsp_ri" 26 | ] 27 | }, 28 | { 29 | "cell_type": "markdown", 30 | "metadata": {}, 31 | "source": [ 32 | "We can either import the instance from a text file or randomly generate it." 33 | ] 34 | }, 35 | { 36 | "cell_type": "code", 37 | "execution_count": null, 38 | "metadata": {}, 39 | "outputs": [], 40 | "source": [ 41 | "instance = smsp_ri.riwiCi_Instance.generate_random(50,Wmax=10,Pmin=1, Pmax=50,Alpha=100)\n", 42 | "instance.to_txt(\"deleteMe.txt\")" 43 | ] 44 | }, 45 | { 46 | "cell_type": "markdown", 47 | "metadata": {}, 48 | "source": [ 49 | "Finally, we use one of the implemented methods which are found in either **Heuristics** or **Metaheuristics** classes as following :" 50 | ] 51 | }, 52 | { 53 | "cell_type": "code", 54 | "execution_count": null, 55 | "metadata": {}, 56 | "outputs": [], 57 | "source": [ 58 | "solution = smsp_ri.Heuristics.WSECi(instance)\n", 59 | "print(solution)" 60 | ] 61 | } 62 | ], 63 | "metadata": { 64 | "kernelspec": { 65 | "display_name": "Python 3.9.12 ('pyscheduling')", 66 | "language": "python", 67 | "name": "python3" 68 | }, 69 | "language_info": { 70 | "codemirror_mode": { 71 | "name": "ipython", 72 | "version": 3 73 | }, 74 | "file_extension": ".py", 75 | "mimetype": "text/x-python", 76 | "name": "python", 77 | "nbconvert_exporter": "python", 78 | "pygments_lexer": "ipython3", 79 | "version": "3.9.12" 80 | }, 81 | "orig_nbformat": 4, 82 | "vscode": { 83 | "interpreter": { 84 | "hash": "fa7cdbb78ab82d427a6b02c171e3c48e0658c2b720f18feff16576a8f3200f32" 85 | } 86 | } 87 | }, 88 | "nbformat": 4, 89 | "nbformat_minor": 2 90 | } 91 | -------------------------------------------------------------------------------- /docs/documentation/getting_started.rst: -------------------------------------------------------------------------------- 1 | .. _getting_started: 2 | 3 | =============== 4 | Getting started 5 | =============== 6 | 7 | The python package to solve scheduling problems of all categories (Single machine, Parallel machines, Flowshop and Jobshop) under different constraints combination. 8 | 9 | Python version support 10 | ====================== 11 | 12 | The use of **pyscheduling** requires a minimum python version of 3.9 to allow the type hinting. 13 | 14 | 15 | Installation 16 | ============ 17 | 18 | .. panels:: 19 | :card: + install-card 20 | :column: col-12 p-3 21 | 22 | Installing stable release (v0.1.3) 23 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 24 | 25 | pyscheduling can be installed via pip from `PyPI `__. 26 | 27 | ++++++++++++++++++++++ 28 | 29 | .. code-block:: bash 30 | 31 | pip install pyscheduling 32 | 33 | Basic example 34 | ============ 35 | 36 | .. panels:: 37 | :column: col-12 p-3 38 | 39 | The following is a basic code example of how to use **pyscheduling** where we create a single machine problem consisting of minimizing the total weighted lateness. 40 | 41 | ++++++++++++++++++++++ 42 | 43 | .. code-block:: bash 44 | 45 | import pyscheduling.SMSP.interface as sm 46 | 47 | problem = sm.Problem() 48 | problem.add_constraints([sm.Constraints.W,sm.Constraints.D]) 49 | problem.set_objective(sm.Objective.wiTi) 50 | problem.generate_random(jobs_number=20,Wmax=10) 51 | solution = problem.solve(problem.heuristics["ACT"]) 52 | print(solution) 53 | 54 | --- 55 | :column: col-lg-6 col-md-6 col-sm-12 col-xs-12 p-3 56 | 57 | How to use pyscheduling? 58 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 59 | 60 | See examples of use here : 61 | 62 | .. link-button:: samples.html 63 | :type: url 64 | :text: Examples 65 | :classes: btn-secondary stretched-link 66 | 67 | --- 68 | :column: col-lg-6 col-md-6 col-sm-12 col-xs-12 p-3 69 | 70 | API reference 71 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ 72 | 73 | Full code documentation here : 74 | 75 | .. link-button:: autoapi/index.html 76 | :type: url 77 | :text: API reference 78 | :classes: btn-secondary stretched-link -------------------------------------------------------------------------------- /docs/documentation/index.rst: -------------------------------------------------------------------------------- 1 | .. pyscheduling documentation master file, created by 2 | sphinx-quickstart on Wed Sep 7 14:28:40 2022. 3 | You can adapt this file completely to your liking, but it should at least 4 | contain the root `toctree` directive. 5 | 6 | Welcome to pyscheduling's documentation! 7 | =========================================== 8 | 9 | .. toctree:: 10 | :maxdepth: 3 11 | :hidden: 12 | :titlesonly: 13 | 14 | getting_started 15 | samples 16 | autoapi/index 17 | 18 | 19 | .. panels:: 20 | :card: + intro-card text-center 21 | :column: col-lg-4 col-md-3 col-sm-6 col-xs-6 d-flex 22 | 23 | --- 24 | :img-top: _static/getting_started.svg 25 | 26 | Getting started 27 | ^^^^^^^^^^^^^^^ 28 | 29 | A quick introduction to pyscheduling basic concepts, from installation 30 | to your first scheduling problem solver. 31 | 32 | +++ 33 | 34 | .. link-button:: getting_started 35 | :type: ref 36 | :text: Getting started guide 37 | :classes: btn-block btn-secondary stretched-link 38 | 39 | --- 40 | :img-top: _static/samples.svg 41 | 42 | Examples 43 | ^^^^^^^^^^^^^^^ 44 | 45 | Some code samples to show how to use pyscheduling 46 | 47 | +++ 48 | 49 | .. link-button:: samples 50 | :type: ref 51 | :text: Explore samples 52 | :classes: btn-block btn-secondary stretched-link 53 | 54 | --- 55 | :img-top: _static/api.svg 56 | 57 | API reference 58 | ^^^^^^^^^^^^^ 59 | 60 | The pyscheduling API documentation, with detailed descriptions of all 61 | its components. 62 | 63 | +++ 64 | 65 | .. link-button:: autoapi/index 66 | :type: ref 67 | :text: Reference guide 68 | :classes: btn-block btn-secondary stretched-link 69 | 70 | 71 | Indices and tables 72 | ================== 73 | 74 | * :ref:`genindex` 75 | * :ref:`modindex` 76 | * :ref:`search` 77 | -------------------------------------------------------------------------------- /docs/documentation/make.bat: -------------------------------------------------------------------------------- 1 | @ECHO OFF 2 | 3 | pushd %~dp0 4 | 5 | REM Command file for Sphinx documentation 6 | 7 | if "%SPHINXBUILD%" == "" ( 8 | set SPHINXBUILD=sphinx-build 9 | ) 10 | set SOURCEDIR=. 11 | set BUILDDIR=_build 12 | 13 | %SPHINXBUILD% >NUL 2>NUL 14 | if errorlevel 9009 ( 15 | echo. 16 | echo.The 'sphinx-build' command was not found. Make sure you have Sphinx 17 | echo.installed, then set the SPHINXBUILD environment variable to point 18 | echo.to the full path of the 'sphinx-build' executable. Alternatively you 19 | echo.may add the Sphinx directory to PATH. 20 | echo. 21 | echo.If you don't have Sphinx installed, grab it from 22 | echo.https://www.sphinx-doc.org/ 23 | exit /b 1 24 | ) 25 | 26 | if "%1" == "" goto help 27 | 28 | %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% 29 | goto end 30 | 31 | :help 32 | %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% 33 | 34 | :end 35 | popd 36 | -------------------------------------------------------------------------------- /docs/documentation/samples.rst: -------------------------------------------------------------------------------- 1 | .. _samples: 2 | 3 | =============== 4 | Explore samples 5 | =============== 6 | 7 | 8 | .. toctree:: 9 | :maxdepth: 2 10 | :caption: Content: 11 | 12 | examples/SMSP_example.ipynb 13 | examples/PMSP_example.ipynb 14 | examples/JS_example.ipynb 15 | examples/FS_example.ipynb 16 | examples/SMSP_Interface_example.ipynb 17 | examples/benchmark_example.ipynb -------------------------------------------------------------------------------- /docs/index.md: -------------------------------------------------------------------------------- 1 | ```{include} ../README.md 2 | ``` 3 | 4 | ```{toctree} 5 | :maxdepth: 1 6 | :hidden: 7 | 8 | changelog.md 9 | contributing.md 10 | conduct.md 11 | autoapi/index 12 | ``` -------------------------------------------------------------------------------- /docs/requirements.txt: -------------------------------------------------------------------------------- 1 | # This file may be used to create an environment using: 2 | # $ conda create --name --file 3 | # platform: linux-64 4 | _libgcc_mutex=0.1=main 5 | _openmp_mutex=5.1=1_gnu 6 | blas=1.0=mkl 7 | brotli=1.0.9=he6710b0_2 8 | ca-certificates=2022.4.26=h06a4308_0 9 | certifi=2022.6.15=py39h06a4308_0 10 | cycler=0.11.0=pyhd3eb1b0_0 11 | dbus=1.13.18=hb2f20db_0 12 | expat=2.4.4=h295c915_0 13 | fontconfig=2.13.1=h6c09931_0 14 | fonttools=4.25.0=pyhd3eb1b0_0 15 | freetype=2.11.0=h70c0345_0 16 | giflib=5.2.1=h7b6447c_0 17 | glib=2.69.1=h4ff587b_1 18 | gst-plugins-base=1.14.0=h8213a91_2 19 | gstreamer=1.14.0=h28cd5cc_2 20 | icu=58.2=he6710b0_3 21 | intel-openmp=2021.4.0=h06a4308_3561 22 | jpeg=9e=h7f8727e_0 23 | kiwisolver=1.4.2=py39h295c915_0 24 | lcms2=2.12=h3be6417_0 25 | ld_impl_linux-64=2.38=h1181459_1 26 | libffi=3.3=he6710b0_2 27 | libgcc-ng=11.2.0=h1234567_1 28 | libgomp=11.2.0=h1234567_1 29 | libpng=1.6.37=hbc83047_0 30 | libstdcxx-ng=11.2.0=h1234567_1 31 | libtiff=4.2.0=h2818925_1 32 | libuuid=1.0.3=h7f8727e_2 33 | libwebp=1.2.2=h55f646e_0 34 | libwebp-base=1.2.2=h7f8727e_0 35 | libxcb=1.15=h7f8727e_0 36 | libxml2=2.9.14=h74e7548_0 37 | lz4-c=1.9.3=h295c915_1 38 | matplotlib=3.5.1=py39h06a4308_1 39 | matplotlib-base=3.5.1=py39ha18d171_1 40 | mkl=2021.4.0=h06a4308_640 41 | mkl-service=2.4.0=py39h7f8727e_0 42 | mkl_fft=1.3.1=py39hd3c417c_0 43 | mkl_random=1.2.2=py39h51133e4_0 44 | munkres=1.1.4=py_0 45 | ncurses=6.3=h5eee18b_3 46 | numpy=1.22.3=py39he7a7128_0 47 | numpy-base=1.22.3=py39hf524024_0 48 | openssl=1.1.1p=h5eee18b_0 49 | packaging=21.3=pyhd3eb1b0_0 50 | pcre=8.45=h295c915_0 51 | pillow=9.0.1=py39h22f2fdc_0 52 | pip=22.1.2=py39h06a4308_0 53 | pyparsing=3.0.4=pyhd3eb1b0_0 54 | pyqt=5.9.2=py39h2531618_6 55 | python=3.9.12=h12debd9_1 56 | python-dateutil=2.8.2=pyhd3eb1b0_0 57 | qt=5.9.7=h5867ecd_1 58 | readline=8.1.2=h7f8727e_1 59 | setuptools=61.2.0=py39h06a4308_0 60 | sip=4.19.13=py39h295c915_0 61 | six=1.16.0=pyhd3eb1b0_1 62 | sqlite=3.38.5=hc218d9a_0 63 | tk=8.6.12=h1ccaba5_0 64 | tornado=6.1=py39h27cfd23_0 65 | tzdata=2022a=hda174b7_0 66 | wheel=0.37.1=pyhd3eb1b0_0 67 | xz=5.2.5=h7f8727e_1 68 | zlib=1.2.12=h7f8727e_2 69 | zstd=1.5.2=ha4553b6_0 70 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.poetry] 2 | name = "pyscheduling" 3 | version = "0.2.0" 4 | description = "THE python package to solve scheduling problems" 5 | authors = ["Amine ATHMANI", "Taha ARBAOUI", "Akram LAISSAOUI", "Mourad TERZI", "Mohammed HENNI"] 6 | license = "CC-BY-NC-ND-4.0" 7 | readme = "README.md" 8 | 9 | [tool.poetry.dependencies] 10 | python = "^3.8" 11 | networkx = "^3.0" 12 | plotly = "^5.13.1" 13 | numpy = "^1.24.2" 14 | 15 | [tool.poetry.dev-dependencies] 16 | pytest = "^7.1.2" 17 | jupyter = "^1.0.0" 18 | sphinx-autoapi = "^1.9.0" 19 | nbsphinx = "^0.8.9" 20 | sphinx-panels = "^0.6.0" 21 | sphinx-copybutton = "^0.5.0" 22 | pydata-sphinx-theme = "^0.10.1" 23 | 24 | [build-system] 25 | requires = ["poetry-core>=1.0.0"] 26 | build-backend = "poetry.core.masonry.api" 27 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.solvers import BIBA 6 | from pyscheduling.FS.FlowShop import Constraints 7 | from pyscheduling.Problem import Job, Objective 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass 12 | class FmCmax_Instance(FlowShop.FlowShopInstance): 13 | P: List[List[int]] = field(default_factory=list) # Processing time 14 | constraints: ClassVar[List[Constraints]] = [Constraints.P] 15 | objective: ClassVar[Objective] = Objective.Cmax 16 | init_sol_method: BaseSolver = field(default_factory=BIBA) 17 | 18 | 19 | @dataclass 20 | class Slope(BaseSolver): 21 | 22 | def solve(self, instance: FmCmax_Instance): 23 | """Inspired from Jonhson's rule, this heuristic schedules first the jobs with the smallest processing times on the first machines 24 | 25 | Args: 26 | instance (FmCmax_Instance): Instance to be solved by the heuristic 27 | 28 | Returns: 29 | Problem.SolveResult: the solver result of the execution of the heuristic 30 | """ 31 | self.notify_on_start() 32 | solution = FlowShop.FlowShopSolution(instance=instance) 33 | jobs = list(range(instance.n)) 34 | # m+1 to translate the set of numbers of m from [[0,m-1]] to [[1,m]] 35 | # machine_id+1 to translate the set of numbers of machine_id from [[0,m-1]] to [[1,m]] 36 | slope_index = lambda job_id : -sum([((instance.m + 1) - (2*(machine_id+1)-1))*instance.P[job_id][machine_id] for machine_id in range(instance.m)]) 37 | jobs.sort(reverse=True,key=slope_index) 38 | solution.job_schedule = [ Job(job_id, 0, 0) for job_id in jobs] 39 | solution.compute_objective() 40 | 41 | self.notify_on_solution_found() 42 | self.notify_on_complete() 43 | 44 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmSijkCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.FlowShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.FS.solvers import MINIT 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class FmSijkCmax_Instance(FlowShop.FlowShopInstance): 13 | 14 | P: List[List[int]] 15 | S: List[List[List[int]]] 16 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.S] 17 | objective: ClassVar[Objective] = Objective.Cmax 18 | init_sol_method: BaseSolver = MINIT() 19 | 20 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmriSijkCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.FlowShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.FS.solvers import BIBA 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class FmriSijkCmax_Instance(FlowShop.FlowShopInstance): 13 | 14 | P: List[List[int]] 15 | R: List[int] 16 | S: List[List[List[int]]] 17 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.R, Constraints.S] 18 | objective: ClassVar[Objective] = Objective.Cmax 19 | init_sol_method: BaseSolver = BIBA() 20 | 21 | 22 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmriSijkwiCi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.FlowShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.FS.solvers import BIBA 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class FmriSijkwiCi_Instance(FlowShop.FlowShopInstance): 13 | 14 | P: List[List[int]] 15 | W: List[int] 16 | R: List[int] 17 | S: List[List[List[int]]] 18 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 19 | objective: ClassVar[Objective] = Objective.wiCi 20 | init_sol_method: BaseSolver = BIBA() 21 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmriSijkwiFi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.FlowShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.FS.solvers import BIBA 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class FmriSijkwiFi_Instance(FlowShop.FlowShopInstance): 13 | 14 | P: List[List[int]] 15 | W: List[int] 16 | R: List[int] 17 | S: List[List[List[int]]] 18 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 19 | objective: ClassVar[Objective] = Objective.wiFi 20 | init_sol_method: BaseSolver = BIBA() 21 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/FmridiSijkwiTi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.FS.FlowShop as FlowShop 5 | from pyscheduling.FS.FlowShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.FS.solvers import BIBA 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class FmridiSijkwiTi_Instance(FlowShop.FlowShopInstance): 13 | P: List[List[int]] 14 | W: List[int] 15 | R: List[int] 16 | D: List[int] 17 | S: List[List[List[int]]] 18 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.D, Constraints.S] 19 | objective: ClassVar[Objective] = Objective.wiTi 20 | init_sol_method: BaseSolver = BIBA() 21 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["FlowShop", "FS_methods", "FmCmax", "FmSijkCmax", "FmridiSijkwiTi", 6 | "FmriSijkCmax", "FmriSijkwiCi", "FmriSijkwiFi", ""] -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["biba", "csp", "dispatch_rule", "grasp", "lahc", "minit", "sa"] 2 | 3 | from .biba import BIBA 4 | from .csp import CSP 5 | from .dispatch_rule import DispatchRule 6 | from .grasp import GRASP 7 | from .lahc import LAHC 8 | from .sa import SA 9 | from .minit import MINIT -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/biba.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | import pyscheduling.FS.FlowShop as FS 3 | from pyscheduling.Problem import Job 4 | from pyscheduling.core.base_solvers import BaseSolver 5 | 6 | @dataclass 7 | class BIBA(BaseSolver): 8 | 9 | def solve(self, instance: FS.FlowShopInstance): 10 | """the greedy constructive heuristic (Best Insertion Based approach) to find an initial solution of flowshop instances 11 | 12 | Args: 13 | instance (FlowShopInstance): Instance to be solved by the heuristic 14 | 15 | 16 | Returns: 17 | Problem.SolveResult: the solver result of the execution of the heuristic 18 | """ 19 | self.notify_on_start() 20 | solution = FS.FlowShopSolution(instance=instance) 21 | 22 | remaining_jobs_list = [j for j in range(instance.n)] 23 | 24 | while len(remaining_jobs_list) != 0: 25 | min_obj = None 26 | for i in remaining_jobs_list: 27 | 28 | start_time, end_time = solution.simulate_insert_last(i) 29 | new_obj = solution.simulate_insert_objective(i, start_time, end_time) 30 | 31 | if not min_obj or (min_obj > new_obj): 32 | min_obj = new_obj 33 | taken_job = i 34 | 35 | solution.job_schedule.append(Job(taken_job, 0, 0)) 36 | solution.compute_objective(startIndex=len(solution.job_schedule) - 1) 37 | remaining_jobs_list.remove(taken_job) 38 | 39 | self.notify_on_solution_found(solution) 40 | self.notify_on_complete() 41 | 42 | return self.solve_result 43 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/dispatch_rule.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from functools import partial 3 | from time import perf_counter 4 | from typing import Callable 5 | 6 | import pyscheduling.FS.FlowShop as FS 7 | from pyscheduling.Problem import Job 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | @dataclass 11 | class DispatchRule(BaseSolver): 12 | 13 | rule : Callable 14 | reverse: bool = False 15 | 16 | def solve(self, instance: FS.FlowShopInstance): 17 | """Orders the jobs according to the rule (lambda function) and returns the schedule accordignly 18 | 19 | Args: 20 | instance (SingleInstance): Instance to be solved 21 | 22 | Returns: 23 | RootProblem.SolveResult: SolveResult of the instance by the method 24 | """ 25 | self.notify_on_start() 26 | startTime = perf_counter() 27 | solution = FS.FlowShopSolution(instance) 28 | 29 | remaining_jobs_list = list(range(instance.n)) 30 | sort_rule = partial(self.rule, instance) 31 | 32 | remaining_jobs_list.sort(key=sort_rule, reverse=self.reverse) 33 | solution.job_schedule = [Job(job_id, -1, -1) for job_id in remaining_jobs_list] 34 | solution.compute_objective() 35 | self.notify_on_solution_found(solution) 36 | self.notify_on_complete() 37 | 38 | return self.solve_result 39 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/grasp.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | import random 3 | 4 | import pyscheduling.FS.FlowShop as FS 5 | from pyscheduling.Problem import Job 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | 8 | 9 | @dataclass 10 | class GRASP(BaseSolver): 11 | 12 | p: float = 0.5 13 | r: int = 0.5 14 | n_iterations: int = 5 15 | 16 | def solve(self, instance: FS.FlowShopInstance): 17 | """Returns the solution using the Greedy randomized adaptive search procedure algorithm 18 | 19 | Args: 20 | instance (SingleInstance): The instance to be solved by the heuristic 21 | p (float): probability of taking the greedy best solution 22 | r (int): percentage of moves to consider to select the best move 23 | nb_exec (int): Number of execution of the heuristic 24 | 25 | Returns: 26 | Problem.SolveResult: the solver result of the execution of the heuristic 27 | """ 28 | self.notify_on_start() 29 | for _ in range(self.n_iterations): 30 | solution = FS.FlowShopSolution(instance) 31 | remaining_jobs_list = [i for i in range(instance.n)] 32 | while len(remaining_jobs_list) != 0: 33 | insertions_list = [] 34 | for i in remaining_jobs_list: 35 | start_time, end_time = solution.simulate_insert_last(i) 36 | new_obj = solution.simulate_insert_objective(i, start_time, end_time) 37 | insertions_list.append((i, new_obj)) 38 | 39 | insertions_list.sort(key=lambda insertion: insertion[1]) 40 | proba = random.random() 41 | if proba < self.p: 42 | rand_insertion = insertions_list[0] 43 | else: 44 | rand_insertion = random.choice( 45 | insertions_list[0:int(instance.n * self.r)]) 46 | 47 | taken_job, new_obj = rand_insertion 48 | solution.job_schedule.append(Job(taken_job, 0, 0)) 49 | solution.compute_objective(startIndex=len(solution.job_schedule) - 1) 50 | remaining_jobs_list.remove(taken_job) 51 | 52 | self.notify_on_solution_found(solution) 53 | 54 | self.notify_on_complete() 55 | 56 | return self.solve_result 57 | 58 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/lahc.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.FS.FlowShop as FS 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseLAHC 7 | 8 | 9 | @dataclass 10 | class LAHC(BaseLAHC): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = FS.FS_LocalSearch) 13 | generate_neighbour: Callable = field(default=FS.NeighbourhoodGeneration.random_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/FS/solvers/sa.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.FS.FlowShop as FS 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseSA 7 | 8 | 9 | @dataclass 10 | class SA(BaseSA): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = FS.FS_LocalSearch) 13 | generate_neighbour: Callable = field(default=FS.NeighbourhoodGeneration.random_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/JS/JmriSijkCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.JS.JobShop as JobShop 5 | from pyscheduling.JS.JobShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.core.base_solvers import BaseSolver 8 | from pyscheduling.JS.solvers import BIBA 9 | 10 | @dataclass(init=False) 11 | class JmriSijkCmax_Instance(JobShop.JobShopInstance): 12 | 13 | P: List[List[int]] 14 | R: List[int] 15 | S: List[List[List[int]]] 16 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.R, Constraints.S] 17 | objective: ClassVar[Objective] = Objective.Cmax 18 | init_sol_method: BaseSolver = BIBA() 19 | -------------------------------------------------------------------------------- /src/pyscheduling/JS/JmriSijkwiCi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.JS.JobShop as JobShop 5 | from pyscheduling.JS.JobShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.core.base_solvers import BaseSolver 8 | from pyscheduling.JS.solvers import BIBA 9 | 10 | 11 | @dataclass(init=False) 12 | class JmriSijkwiCi_Instance(JobShop.JobShopInstance): 13 | 14 | P: List[List[int]] 15 | W: List[int] 16 | R: List[int] 17 | S: List[List[List[int]]] 18 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 19 | objective: ClassVar[Objective] = Objective.wiCi 20 | init_sol_method: BaseSolver = BIBA() 21 | -------------------------------------------------------------------------------- /src/pyscheduling/JS/JmriSijkwiFi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.JS.JobShop as JobShop 5 | from pyscheduling.JS.JobShop import Constraints 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.core.base_solvers import BaseSolver 8 | from pyscheduling.JS.solvers import BIBA 9 | 10 | 11 | @dataclass(init=False) 12 | class JmriSijkwiFi_Instance(JobShop.JobShopInstance): 13 | 14 | P: List[List[int]] 15 | W: List[int] 16 | R: List[int] 17 | S: List[List[List[int]]] 18 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 19 | objective: ClassVar[Objective] = Objective.wiFi 20 | init_sol_method: BaseSolver = BIBA() 21 | -------------------------------------------------------------------------------- /src/pyscheduling/JS/JmridiSijkwiTi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.JS.JobShop as JobShop 5 | from pyscheduling.core.base_solvers import BaseSolver 6 | from pyscheduling.JS.JobShop import Constraints 7 | from pyscheduling.JS.solvers import BIBA 8 | from pyscheduling.Problem import Objective 9 | 10 | 11 | @dataclass(init=False) 12 | class JmridiSijkwiTi_Instance(JobShop.JobShopInstance): 13 | 14 | P: List[List[int]] 15 | W: List[int] 16 | R: List[int] 17 | D: List[int] 18 | S: List[List[List[int]]] 19 | constraints: ClassVar[Constraints] = [Constraints.P, Constraints.W, Constraints.R, Constraints.D, Constraints.S] 20 | objective: ClassVar[Objective] = Objective.wiTi 21 | init_sol_method: BaseSolver = BIBA() 22 | -------------------------------------------------------------------------------- /src/pyscheduling/JS/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["JobShop", "JmCmax", "JmridiSijkwiTi", "JmriSijkCmax", "JmriSijkwiCi", 6 | "JmriSijkwiFi", "JmriwiTi", "JS_methods"] -------------------------------------------------------------------------------- /src/pyscheduling/JS/solvers/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["biba", "grasp", "dispatch_heuristic"] 2 | 3 | from .biba import BIBA 4 | from .grasp import GRASP 5 | from .dispatch_heuristic import DispatchHeuristic 6 | -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["ParallelMachines", "RmSijkCmax", "RmriSijkCmax", 6 | "RmridiSijkWiTi", "RmriSijkCmax", "RmriSijkWiCi", "RmriSijkWiFi"] -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/solvers/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["biba", "grasp", "ordered_constructive" "lahc", 2 | "sa", "genetic_algorithm", "ant_colony"] 3 | 4 | from .biba import BIBA 5 | from .grasp import GRASP 6 | from .ordered_constructive import OrderedConstructive 7 | from .lahc import LAHC 8 | from .sa import SA 9 | from .genetic_algorithm import GeneticAlgorithm 10 | from .ant_colony import AntColony 11 | -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/solvers/biba.py: -------------------------------------------------------------------------------- 1 | import pyscheduling.PMSP.ParallelMachines as pm 2 | from pyscheduling.Problem import Job 3 | from pyscheduling.core.base_solvers import BaseSolver 4 | 5 | class BIBA(BaseSolver): 6 | 7 | def solve(self, instance: pm.ParallelInstance): 8 | """the greedy constructive heuristic (Best insertion based approach) to find an initial solution of a PMSP. 9 | 10 | Args: 11 | instance (ParallelInstance): Instance to be solved by the heuristic 12 | 13 | Returns: 14 | Problem.SolveResult: the solver result of the execution of the heuristic 15 | """ 16 | self.notify_on_start() 17 | solution = pm.ParallelSolution(instance) 18 | remaining_jobs_list = [i for i in range(instance.n)] 19 | while len(remaining_jobs_list) != 0: 20 | min_factor = None 21 | for i in remaining_jobs_list: 22 | for j in range(instance.m): 23 | current_machine = solution.machines[j] 24 | last_pos = len(current_machine.job_schedule) 25 | factor = current_machine.simulate_remove_insert(-1, i, last_pos, instance) 26 | if min_factor is None or (min_factor > factor): 27 | min_factor = factor 28 | taken_job = i 29 | taken_machine = j 30 | 31 | curr_machine = solution.machines[taken_machine] 32 | last_pos = len(curr_machine.job_schedule) 33 | curr_machine.job_schedule.append(Job(taken_job, -1, -1) ) 34 | curr_machine.last_job = taken_job 35 | curr_machine.compute_objective(instance, startIndex=last_pos) 36 | remaining_jobs_list.remove(taken_job) 37 | 38 | solution.fix_objective() 39 | self.notify_on_solution_found(solution) 40 | self.notify_on_complete() 41 | 42 | return self.solve_result 43 | -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/solvers/lahc.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.PMSP.ParallelMachines as pm 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseLAHC 7 | 8 | 9 | @dataclass 10 | class LAHC(BaseLAHC): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = pm.PM_LocalSearch) 13 | generate_neighbour: Callable = field(default=pm.NeighbourhoodGeneration.lahc_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/solvers/ordered_constructive.py: -------------------------------------------------------------------------------- 1 | 2 | from typing import List 3 | from dataclasses import dataclass 4 | import random 5 | import pyscheduling.PMSP.ParallelMachines as pm 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | 8 | 9 | @dataclass 10 | class OrderedConstructive(BaseSolver): 11 | 12 | remaining_jobs_list: List = None 13 | is_random: bool = False 14 | 15 | def solve(self, instance: pm.ParallelInstance): 16 | """the ordered greedy constructive heuristic to find an initial solution of RmSijkCmax problem minimalizing the factor of (processing time + setup time) of 17 | jobs in the given order on different machines 18 | 19 | Args: 20 | instance (pm.ParallelInstance): Instance to be solved by the heuristic 21 | 22 | Returns: 23 | Problem.SolveResult: the solver result of the execution of the heuristic 24 | """ 25 | self.notify_on_start() 26 | solution = pm.ParallelSolution(instance) 27 | if self.remaining_jobs_list is None: 28 | self.remaining_jobs_list = [i for i in range(instance.n)] 29 | if self.is_random: 30 | random.shuffle(self.remaining_jobs_list) 31 | 32 | for i in self.remaining_jobs_list: 33 | min_factor = None 34 | for j in range(instance.m): 35 | current_machine = solution.machines[j] 36 | last_pos = len(current_machine.job_schedule) 37 | factor = current_machine.simulate_remove_insert(-1, i, last_pos, instance) 38 | 39 | if min_factor == None or (min_factor > factor): 40 | min_factor = factor 41 | taken_job = i 42 | taken_machine = j 43 | 44 | curr_machine = solution.machines[taken_machine] 45 | last_pos = len(curr_machine.job_schedule) 46 | curr_machine.job_schedule.append( pm.Job(taken_job, -1, -1) ) 47 | curr_machine.last_job = taken_job 48 | curr_machine.compute_objective(instance, startIndex=last_pos) 49 | 50 | solution.fix_objective() 51 | self.notify_on_solution_found(solution) 52 | self.notify_on_complete() 53 | 54 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/PMSP/solvers/sa.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.PMSP.ParallelMachines as pm 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseSA 7 | 8 | 9 | @dataclass 10 | class SA(BaseSA): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = pm.PM_LocalSearch) 13 | generate_neighbour: Callable = field(default=pm.NeighbourhoodGeneration.SA_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/Constraints.py: -------------------------------------------------------------------------------- 1 | from typing import List 2 | from pyscheduling.core.BaseConstraints import BaseConstraints 3 | 4 | class Constraints(BaseConstraints): 5 | 6 | class P(BaseConstraints.P): 7 | 8 | @classmethod 9 | def read(cls, instance, text_content : List[str], starting_index : int): 10 | P, i = Constraints.read_1D(text_content,starting_index) 11 | setattr(instance, cls._name, P) 12 | return i 13 | 14 | @classmethod 15 | def write(cls, instance, file): 16 | P = getattr(instance, cls._name ) 17 | for i in range(instance.n): 18 | file.write(str(P[i])+"\t") 19 | 20 | @classmethod 21 | def generate_random(cls, instance,**kwargs): 22 | law = kwargs.get("law") 23 | Pmin = kwargs.get("Pmin") 24 | Pmax = kwargs.get("Pmax") 25 | P = Constraints.generate_1D(instance.n, Pmin, Pmax, law) 26 | setattr(instance, cls._name, P) 27 | return P 28 | 29 | class S(BaseConstraints.S): 30 | 31 | @classmethod 32 | def read(cls, instance, text_content : List[str], starting_index : int): 33 | S, i = Constraints.read_2D(instance.n, text_content, starting_index) 34 | setattr(instance, cls._name, S) 35 | return i 36 | 37 | @classmethod 38 | def write(cls, instance, file): 39 | S = getattr(instance,"S") 40 | file.write("\nSSD\n") 41 | for i in range(instance.n): 42 | for j in range(instance.n): 43 | file.write(str(S[i][j])+"\t") 44 | file.write("\n") 45 | 46 | @classmethod 47 | def generate_random(cls, instance,**kwargs): 48 | law = kwargs.get("law") 49 | gamma = kwargs.get("gamma") 50 | 51 | flatten_P = Constraints.flatten_list(instance.P) 52 | Pmin = min(flatten_P) 53 | Pmax = max(flatten_P) 54 | # Limit values 55 | Smin = int(gamma * Pmin) 56 | Smax = int(gamma * Pmax) 57 | 58 | S = Constraints.generate_2D(instance.n, instance.n, 59 | Smin, Smax, law) 60 | setattr(instance, cls._name, S) 61 | return instance.S -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["SingleMachine", "risijwiCi", "risijwiFi", "wiCi", "riwiCi", "wiTi", "riwiTi", "sijwiTi", "risijwiTi", "sijCmax", "risijCmax"] -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/risijCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.SMSP.SingleMachine as SingleMachine 5 | from pyscheduling.core.base_solvers import BaseSolver 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.SMSP.SingleMachine import Constraints 8 | from pyscheduling.SMSP.solvers import BIBA 9 | 10 | 11 | @dataclass(init=False) 12 | class risijCmax_Instance(SingleMachine.SingleInstance): 13 | 14 | P: List[int] 15 | R: List[int] 16 | S: List[List[int]] 17 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.R, Constraints.S] 18 | objective: ClassVar[Objective] = Objective.Cmax 19 | init_sol_method: BaseSolver = BIBA() 20 | 21 | 22 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/risijwiCi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from math import exp 3 | from typing import ClassVar, List 4 | 5 | import pyscheduling.SMSP.SingleMachine as SingleMachine 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | from pyscheduling.Problem import Objective 8 | from pyscheduling.SMSP.SingleMachine import Constraints 9 | from pyscheduling.SMSP.solvers import BIBA, DispatchHeuristic 10 | 11 | 12 | @dataclass(init=False) 13 | class risijwiCi_Instance(SingleMachine.SingleInstance): 14 | 15 | P: List[int] 16 | W: List[int] 17 | R: List[int] 18 | D: List[int] 19 | S: List[List[int]] 20 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 21 | objective: ClassVar[Objective] = Objective.wiCi 22 | init_sol_method: BaseSolver = BIBA() 23 | 24 | 25 | @dataclass 26 | class ListHeuristic(BaseSolver): 27 | 28 | rule_number: int = 1 29 | reverse : bool = False 30 | 31 | def solve(self, instance: risijwiCi_Instance): 32 | """contains a list of static dispatching rules to be chosen from 33 | 34 | Args: 35 | instance (riwiCi_Instance): Instance to be solved 36 | 37 | Returns: 38 | RootProblem.SolveResult: SolveResult of the instance by the method 39 | """ 40 | s_bar = sum(sum(instance.S[l]) for l in range(instance.n) ) / (instance.n * instance.n) 41 | default_rule = lambda instance, job_id : instance.R[job_id] 42 | rules_dict = { 43 | 0: default_rule, 44 | 1: lambda instance, job_id : instance.W[job_id] / instance.P[job_id], 45 | 2: lambda instance, job_id : instance.W[job_id] / (instance.R[job_id]+instance.P[job_id]), 46 | 3: lambda instance, job_id : exp(-(sum(instance.S[l][job_id] for l in range(instance.n))) / ( 0.2 * s_bar) ) * instance.W[job_id] / (instance.R[job_id]+instance.P[job_id]) 47 | } 48 | 49 | sorting_func = rules_dict.get(self.rule_number, default_rule) 50 | 51 | return DispatchHeuristic(rule=sorting_func, reverse=self.reverse).solve(instance) 52 | 53 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/risijwiFi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from math import exp 3 | from typing import ClassVar, List 4 | 5 | import pyscheduling.SMSP.SingleMachine as SingleMachine 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | from pyscheduling.Problem import Objective 8 | from pyscheduling.SMSP.SingleMachine import Constraints 9 | from pyscheduling.SMSP.solvers import BIBA, DispatchHeuristic 10 | 11 | 12 | @dataclass(init=False) 13 | class risijwiFi_Instance(SingleMachine.SingleInstance): 14 | 15 | P: List[int] 16 | W: List[int] 17 | R: List[int] 18 | D: List[int] 19 | S: List[List[int]] 20 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.W, Constraints.R, Constraints.S] 21 | objective: ClassVar[Objective] = Objective.wiFi 22 | init_sol_method: BaseSolver = BIBA() 23 | 24 | 25 | @dataclass 26 | class ListHeuristic(BaseSolver): 27 | 28 | rule_number: int = 1 29 | reverse : bool = False 30 | 31 | def solve(self, instance: risijwiFi_Instance): 32 | """contains a list of static dispatching rules to be chosen from 33 | 34 | Args: 35 | instance (riwiCi_Instance): Instance to be solved 36 | rule_number (int, optional) : Index of the rule to use. Defaults to 1. 37 | 38 | Returns: 39 | RootProblem.SolveResult: SolveResult of the instance by the method 40 | """ 41 | s_bar = sum(sum(instance.S[l]) for l in range(instance.n) ) / (instance.n * instance.n) 42 | default_rule = lambda instance, job_id : instance.R[job_id] 43 | rules_dict = { 44 | 0: default_rule, 45 | 1: lambda instance, job_id : instance.W[job_id] / instance.P[job_id], 46 | 2: lambda instance, job_id : instance.W[job_id] / (instance.R[job_id]+instance.P[job_id]), 47 | 3: lambda instance, job_id : exp(-(sum(instance.S[l][job_id] for l in range(instance.n))) / ( 0.2 * s_bar) ) * instance.W[job_id] / (instance.R[job_id]+instance.P[job_id]) 48 | } 49 | 50 | sorting_func = rules_dict.get(self.rule_number, default_rule) 51 | 52 | return DispatchHeuristic(rule=sorting_func, reverse=self.reverse).solve(instance) 53 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/sijCmax.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.SMSP.SingleMachine as SingleMachine 5 | from pyscheduling.Problem import Objective 6 | from pyscheduling.SMSP.SingleMachine import Constraints 7 | from pyscheduling.SMSP.solvers import BIBA 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass(init=False) 12 | class sijCmax_Instance(SingleMachine.SingleInstance): 13 | 14 | P: List[int] 15 | S: List[List[int]] 16 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.S] 17 | objective: ClassVar[Objective] = Objective.Cmax 18 | init_sol_method: BaseSolver = BIBA() 19 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["biba", "grasp", "dispatch_heuristic", 2 | "dynamic_dispatch_heuristic", "lahc", "sa"] 3 | 4 | from .biba import BIBA 5 | from .grasp import GRASP 6 | from .dispatch_heuristic import DispatchHeuristic 7 | from .dynamic_dispatch_heuristic import DynamicDispatchHeuristic 8 | from .lahc import LAHC 9 | from .sa import SA 10 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/biba.py: -------------------------------------------------------------------------------- 1 | 2 | from dataclasses import dataclass 3 | import pyscheduling.Problem as Problem 4 | import pyscheduling.SMSP.SingleMachine as SingleMachine 5 | from pyscheduling.SMSP.SingleMachine import Job 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | 8 | 9 | @dataclass 10 | class BIBA(BaseSolver): 11 | 12 | def solve(self, instance: SingleMachine.SingleInstance): 13 | """Returns the solution according to the best insertion based approach algorithm (GECCO Article) 14 | 15 | Args: 16 | instance (SingleMachine.SingleInstance): SMSP instance to be solved 17 | 18 | Returns: 19 | SolveResult: the solve result of the execution of the heuristic 20 | """ 21 | self.notify_on_start() 22 | solution = SingleMachine.SingleSolution(instance) 23 | remaining_jobs_list = [i for i in range(instance.n)] 24 | while len(remaining_jobs_list) != 0: 25 | insertions_list = [] 26 | for i in remaining_jobs_list: 27 | for k in range(0, len(solution.machine.job_schedule) + 1): 28 | insertions_list.append( 29 | (i, k, solution.machine.simulate_remove_insert(-1, i, k, instance))) 30 | 31 | best_insertion = min(insertions_list, key= lambda insertion: insertion[2]) 32 | taken_job, taken_pos, ci = best_insertion 33 | solution.machine.job_schedule.insert(taken_pos, Job(taken_job, 0, 0)) 34 | solution.machine.compute_objective(instance, startIndex=taken_pos) 35 | solution.fix_objective() 36 | if taken_pos == len(solution.machine.job_schedule)-1: 37 | solution.machine.last_job = taken_job 38 | remaining_jobs_list.remove(taken_job) 39 | 40 | self.notify_on_solution_found(solution) 41 | self.notify_on_complete() 42 | 43 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/dispatch_heuristic.py: -------------------------------------------------------------------------------- 1 | 2 | from dataclasses import dataclass 3 | from functools import partial 4 | from typing import Callable 5 | import pyscheduling.Problem as Problem 6 | import pyscheduling.SMSP.SingleMachine as SingleMachine 7 | from pyscheduling.SMSP.SingleMachine import Job 8 | from pyscheduling.core.base_solvers import BaseSolver 9 | 10 | 11 | @dataclass 12 | class DispatchHeuristic(BaseSolver): 13 | 14 | rule : Callable 15 | reverse : bool = False 16 | 17 | def solve(self, instance : SingleMachine.SingleInstance): 18 | """Orders the jobs according to the rule (lambda function) and returns the schedule accordignly 19 | 20 | Args: 21 | instance (SingleInstance): Instance to be solved 22 | 23 | Returns: 24 | RootProblem.SolveResult: SolveResult of the instance by the method 25 | """ 26 | self.notify_on_start() 27 | solution = SingleMachine.SingleSolution(instance) 28 | 29 | remaining_jobs_list = list(range(instance.n)) 30 | sort_rule = partial(self.rule, instance) 31 | 32 | remaining_jobs_list.sort(key=sort_rule, reverse=self.reverse) 33 | solution.machine.job_schedule = [SingleMachine.Job(job_id, -1, -1) for job_id in remaining_jobs_list] 34 | solution.compute_objective() 35 | 36 | self.notify_on_solution_found(solution) 37 | self.notify_on_complete() 38 | 39 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/grasp.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | import random 3 | import pyscheduling.Problem as Problem 4 | import pyscheduling.SMSP.SingleMachine as SingleMachine 5 | from pyscheduling.SMSP.SingleMachine import Job 6 | from pyscheduling.core.base_solvers import BaseSolver 7 | 8 | @dataclass 9 | class GRASP(BaseSolver): 10 | 11 | p : float = 0.5 12 | r : int = 0.5 13 | n_iterations : int = 5 14 | 15 | def solve(self, instance: SingleMachine.SingleInstance): 16 | """Returns the solution using the Greedy randomized adaptive search procedure algorithm 17 | 18 | Args: 19 | instance (SingleInstance): The instance to be solved by the heuristic 20 | 21 | Returns: 22 | Problem.SolveResult: the solver result of the execution of the heuristic 23 | """ 24 | self.notify_on_start() 25 | for _ in range(self.n_iterations): 26 | solution = SingleMachine.SingleSolution(instance) 27 | remaining_jobs_list = [i for i in range(instance.n)] 28 | while len(remaining_jobs_list) != 0: 29 | insertions_list = [] 30 | for i in remaining_jobs_list: 31 | for k in range(0, len(solution.machine.job_schedule) + 1): 32 | insertions_list.append( 33 | (i, k, solution.machine.simulate_remove_insert(-1, i, k, instance))) 34 | 35 | insertions_list.sort(key=lambda insertion: insertion[2]) 36 | proba = random.random() 37 | if proba < self.p: 38 | rand_insertion = insertions_list[0] 39 | else: 40 | rand_insertion = random.choice( 41 | insertions_list[0:int(instance.n * self.r)]) 42 | taken_job, taken_pos, ci = rand_insertion 43 | solution.machine.job_schedule.insert(taken_pos, Job(taken_job, 0, 0)) 44 | solution.machine.compute_objective(instance, startIndex=taken_pos) 45 | solution.fix_objective() 46 | if taken_pos == len(solution.machine.job_schedule)-1: 47 | solution.machine.last_job = taken_job 48 | remaining_jobs_list.remove(taken_job) 49 | 50 | self.notify_on_solution_found(solution) 51 | 52 | self.notify_on_complete() 53 | 54 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/lahc.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.SMSP.SingleMachine as sm 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseLAHC 7 | 8 | 9 | @dataclass 10 | class LAHC(BaseLAHC): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = sm.SM_LocalSearch) 13 | generate_neighbour: Callable = field(default=sm.NeighbourhoodGeneration.lahc_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/solvers/sa.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import Callable 3 | 4 | import pyscheduling.SMSP.SingleMachine as sm 5 | from pyscheduling.Problem import LocalSearch 6 | from pyscheduling.core.base_solvers import BaseSA 7 | 8 | 9 | @dataclass 10 | class SA(BaseSA): 11 | 12 | ls_procedure: LocalSearch = field(default_factory = sm.SM_LocalSearch) 13 | generate_neighbour: Callable = field(default=sm.NeighbourhoodGeneration.lahc_neighbour) 14 | -------------------------------------------------------------------------------- /src/pyscheduling/SMSP/wiCi.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass, field 2 | from typing import ClassVar, List 3 | 4 | import pyscheduling.SMSP.SingleMachine as SingleMachine 5 | from pyscheduling.core.base_solvers import BaseSolver 6 | from pyscheduling.Problem import Objective 7 | from pyscheduling.SMSP.SingleMachine import Constraints 8 | 9 | 10 | @dataclass(init=False) 11 | class wiCi_Instance(SingleMachine.SingleInstance): 12 | 13 | P: List[int] 14 | W: List[int] 15 | constraints: ClassVar[List[Constraints]] = [Constraints.P, Constraints.W] 16 | objective: ClassVar[Objective] = Objective.wiCi 17 | 18 | @property 19 | def init_sol_method(self): 20 | return WSPT() 21 | 22 | class WSPT(BaseSolver): 23 | 24 | def solve(self, instance : wiCi_Instance): 25 | """Weighted Shortest Processing Time is Optimal for wiCi problem. A proof by contradiction can simply be found 26 | by performing an adjacent jobs interchange 27 | 28 | Args: 29 | instance (wiCi_Instance): Instance to be solved 30 | 31 | Returns: 32 | RootProblem.SolveResult: SolveResult of the instance by the method. 33 | """ 34 | self.notify_on_start() 35 | jobs = list(range(instance.n)) 36 | jobs.sort(reverse=True,key=lambda job_id : float(instance.W[job_id])/float(instance.P[job_id])) 37 | solution = SingleMachine.SingleSolution(instance) 38 | for job in jobs: 39 | solution.machine.job_schedule.append(SingleMachine.Job(job,0,0)) 40 | solution.compute_objective() 41 | 42 | self.notify_on_solution_found(solution) 43 | self.notify_on_complete() 44 | 45 | return self.solve_result -------------------------------------------------------------------------------- /src/pyscheduling/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["SMSP", "PMSP", "FS", "JS", "Problem", "core"] 6 | 7 | from . import SMSP 8 | from . import PMSP 9 | from . import FS 10 | from . import JS 11 | from . import core 12 | -------------------------------------------------------------------------------- /src/pyscheduling/core/__init__.py: -------------------------------------------------------------------------------- 1 | # read version from installed package 2 | from importlib.metadata import version 3 | __version__ = version("pyscheduling") 4 | 5 | __all__ = ["base_solvers", "listeners", "BaseConstraints", "benchmark"] 6 | 7 | from . import base_solvers 8 | from . import listeners 9 | from . import BaseConstraints 10 | from . import benchmark 11 | -------------------------------------------------------------------------------- /src/pyscheduling/core/base_solvers/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["base_lahc", "base_sa", "base_solver"] 2 | 3 | from .base_solver import BaseSolver 4 | from .base_lahc import BaseLAHC 5 | from .base_sa import BaseSA 6 | -------------------------------------------------------------------------------- /src/pyscheduling/core/listeners/BaseListener.py: -------------------------------------------------------------------------------- 1 | from abc import ABC, abstractmethod 2 | from dataclasses import dataclass, field 3 | 4 | from pyscheduling.Problem import SolveResult, SolveStatus 5 | 6 | 7 | @dataclass 8 | class BaseListener(ABC): 9 | 10 | solve_result : SolveResult = field(repr=False, init=False) 11 | _start_time: int = field(init=False, repr=False) 12 | _end_time: int = field(init=False, repr=False) 13 | _total_time: int = field(init=False, default=0) 14 | _nb_sol: int = field(init=False, default=0) 15 | 16 | def check_best_sol(self, solution): 17 | """Check if the new solution is the best found so far 18 | 19 | Args: 20 | solution (BaseSolution): Found solution 21 | 22 | Returns: 23 | bool: True if it is the best so far. False otherwise. 24 | """ 25 | return self.solve_result.best_solution is None or solution.objective_value <= self.solve_result.best_solution.objective_value 26 | 27 | def on_start(self, solve_result, start_time): 28 | """Start Listening to the solve provess 29 | 30 | Args: 31 | solve_result (SolveResult): Solve result containing the solutions and other metrics 32 | start_time (int): timestamp of the start of the solve process 33 | """ 34 | self.solve_result = solve_result 35 | self._start_time = start_time 36 | 37 | def on_complete(self, end_time): 38 | """Finish listerning to the solve process 39 | 40 | Args: 41 | end_time (int): timestamp of the end of the solve process 42 | """ 43 | self._end_time = end_time 44 | self._total_time = self._end_time - self._start_time 45 | self._search_speed = self._nb_sol / self.solve_result.runtime 46 | if self._nb_sol > 0: 47 | self.solve_result.solve_status = SolveStatus.FEASIBLE 48 | 49 | @abstractmethod 50 | def on_solution_found(self, new_solution, time_found): 51 | """Callback to finding a solution 52 | 53 | Args: 54 | new_solution (BaseSolution): Found solution 55 | time_found (int): timestamp of the moment the solution was found 56 | """ 57 | pass -------------------------------------------------------------------------------- /src/pyscheduling/core/listeners/PlotListener.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | from time import perf_counter 3 | 4 | import plotly.graph_objects as go 5 | from plotly.offline import init_notebook_mode 6 | 7 | from pyscheduling.core.listeners import BaseListener 8 | 9 | 10 | @dataclass 11 | class PlotListener(BaseListener): 12 | 13 | def on_start(self, solve_result, start_time): 14 | super().on_start(solve_result, start_time) 15 | self.time_axis = [] 16 | self.y_axis = [] 17 | 18 | init_notebook_mode(connected = True) 19 | self.fig = go.Figure() 20 | 21 | # Edit the layout 22 | self.fig.update_layout(title='Objective value VS Time (s)', 23 | xaxis_title='Time (s)', 24 | yaxis_title='Objective value') 25 | 26 | def on_complete(self, end_time): 27 | super().on_complete(end_time) 28 | 29 | self.fig.add_trace(go.Scatter(x=self.time_axis, y=self.y_axis, name='Objective value', 30 | line=dict(color='firebrick', width=4))) 31 | 32 | self.fig.show() 33 | 34 | def on_solution_found(self, new_solution, time_found): 35 | self._nb_sol += 1 36 | # Check if the new solution is the best one 37 | found_new_best = self.check_best_sol(new_solution) 38 | 39 | self.time_axis.append(time_found) 40 | self.y_axis.append(new_solution.objective_value) 41 | 42 | -------------------------------------------------------------------------------- /src/pyscheduling/core/listeners/__init__.py: -------------------------------------------------------------------------------- 1 | __all__ = ["BaseListener", "FileListener", "CSVListener", "PlotListener"] 2 | 3 | from .BaseListener import BaseListener 4 | from .FileListener import FileListener 5 | from .CSVListener import CSVListener 6 | from .PlotListener import PlotListener 7 | 8 | -------------------------------------------------------------------------------- /src/pyscheduling/pyscheduling.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/scheduling-cc/pyscheduling/db0aff122874d309dc6c541237f4e39d82f20ba4/src/pyscheduling/pyscheduling.py -------------------------------------------------------------------------------- /tests/test_pyscheduling.py: -------------------------------------------------------------------------------- 1 | from pyscheduling import pyscheduling 2 | --------------------------------------------------------------------------------