├── 2020--鼠群优化（Rat swarm optimization，RSO) ├── A novel algorithm for global optimization Rat Swarm Optimizer.pdf ├── MATLAB │ ├── fun_info.m │ ├── fun_plot.m │ ├── init.m │ ├── license.txt │ ├── main.m │ └── rso.m └── PYTHON │ ├── Fuction.py │ ├── __pycache__ │ └── Fuction.cpython-38.pyc │ └── main.py ├── 2021--卷尾猴搜索算法（ capuchin search algorithm，CapSA） ├── A novel meta-heuristic search algorithm for solving optimization problems capuchin search algorithm.pdf ├── MATLAB │ ├── CapSA.m │ ├── Objfun.m │ ├── initialization.m │ ├── license.txt │ └── main.m └── PYTHON │ ├── __pycache__ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2021--晶体结构算法（Crystal Structure Algorithm ，CryStAl） ├── Crystal Structure Algorithm (CryStAl) A Metaheuristic Optimization Method.pdf ├── MATLAB │ ├── Crystalforpublishfinal.m │ └── license.txt └── PYTHON │ ├── __pycache__ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2021--材料生成优化算法（Material Generation Algorithm, MGA） ├── MATLAB │ ├── MGAforpublish.m │ └── license.txt ├── Material Generation Algorithm A Novel Metaheuristic Algorithm for Optimization of Engineering Problems.pdf └── PYTHON │ └── main.py ├── 2021--白冠鸡优化算法（Coot optimization algorithm，COOT） ├── A new optimization method based on COOT bird natural life model.pdf ├── MATLAB │ ├── COOT.m │ ├── Get_Functions_details.m │ ├── initialization.m │ ├── license.txt │ └── main.m └── PYTHON │ ├── Fuction.py │ ├── __pycache__ │ └── Fuction.cpython-38.pyc │ └── main.py ├── 2021--蜜獾算法（Honey Badger Algorithm，HBA） ├── Honey Badger Algorithm New Metaheuristic Algorithm for Solving Optimization Problems.pdf ├── MATLAB │ ├── HBA.m │ ├── license.txt │ ├── main.m │ ├── read me.txt │ └── sumsqu.m └── PYTHON │ ├── __pycache__ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2021--金枪鱼群优化算法（Tuna swarm optimization,TSO） ├── MATLAB │ ├── Get_Functions_details.m │ ├── TSO_final_version_submit.m │ ├── func_plot.m │ ├── initialization.m │ ├── license.txt │ └── main.m ├── PYTHON │ ├── Function.py │ ├── __pycache__ │ │ ├── Function.cpython-38.pyc │ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py └── Tuna Swarm Optimization A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization.pdf ├── 2021--非洲秃鹫优化算法（African vultures optimization algorithm, AVOA) ├── African vultures optimization algorithm A new nature-inspired metaheuristic algorithm for global optimization problems.pdf ├── MATLAB │ ├── AVOA.m │ ├── ObjectiveFunction.m │ ├── boundaryCheck.m │ ├── exploitation.m │ ├── exploration.m │ ├── initialization.m │ ├── levyFlight.m │ ├── license.txt │ ├── main.m │ ├── random_select.m │ └── rouletteWheelSelection.m └── PYTHON │ ├── Fuction.py │ ├── __pycache__ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2021--饥饿游戏搜索算法(Hunger games search,HGS) ├── Hunger games search Visions, conception, implementation, deep analysis perspectives, and towards performance shifts.pdf ├── MATLAB │ ├── Get_Functions_HGS.m │ ├── HGS.m │ ├── initialization.m │ ├── license.txt │ └── main.m └── PYTHON │ ├── Function.py │ ├── __pycache__ │ ├── Function.cpython-38.pyc │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2021--龙格-库塔优化算法（Runge Kutta optimizer，RUN） ├── Berif version of RUN optimizer for easy use in papers.docx ├── MATLAB │ ├── BenchmarkFunctions.m │ ├── Main.m │ ├── RUN.m │ ├── RungeKutta.m │ ├── initialization.m │ └── license.txt └── PYTHON │ ├── Function.py │ ├── __pycache__ │ ├── Function.cpython-38.pyc │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py ├── 2022--Hunter–prey optimization ├── MATLAB │ ├── Hunter_Prey_Optimization │ │ ├── HPO.m │ │ └── Select_Functions.m │ └── license.txt ├── Naruei2022_Article_HunterPreyOptimizationAlgorith.pdf └── PYTHON │ └── main.py ├── 2022--北方苍鹰优化算法(Northern Goshawk Optimization，NGO) ├── Northern_Goshawk_Optimization_A_New_Swarm-Based_Algorithm_for_Solving_Optimization_Problems.pdf └── PYTHON │ ├── __pycache__ │ └── utiles.cpython-38.pyc │ ├── main.py │ └── utiles.py ├── 2022--向量加权平均算法(Weighted mean of vectors algorithm, INFO) ├── INFO An efficient optimization algorithm based on weighted mean.pdf ├── MATLAB │ ├── BenchmarkFunctions.m │ ├── Brief version of INFO algorithm for easy use of researchers.docx │ ├── INFO.m │ ├── LICENSE │ ├── Main.m │ ├── Matlab codes of INFO optimization algorithm.zip │ ├── Matlab codes of INFO optimization algorithm │ │ ├── 2019--(HHO) │ │ │ ├── Get_Functions_details.m │ │ │ ├── HHO brief.pdf │ │ │ ├── HHO.m │ │ │ ├── LICENSE.txt │ │ │ ├── desktop.ini │ │ │ ├── initialization.m │ │ │ └── main.m │ │ ├── 2020--(SMA) │ │ │ ├── Get_Functions_SMA.m │ │ │ ├── INFO.txt │ │ │ ├── LICENSE.txt │ │ │ ├── SMA brief and equations.docx │ │ │ ├── SMA.m │ │ │ ├── initialization.m │ │ │ └── main.m │ │ ├── 2020--GBO) │ │ │ ├── BenchmarkFunctions.m │ │ │ ├── GBO brief.docx │ │ │ ├── GBO.m │ │ │ ├── LICENSE.txt │ │ │ ├── Main.m │ │ │ └── initialization.m │ │ ├── 2021--(HGS) │ │ │ ├── Brief of Hunger Games Search (HGS) section for papers.docx │ │ │ ├── Get_Functions_HGS.m │ │ │ ├── HGS.m │ │ │ ├── Hunger games search (HGS).png │ │ │ ├── initialization.m │ │ │ └── main.m │ │ ├── 2021--RUN │ │ │ ├── BenchmarkFunctions.m │ │ │ ├── Berif version of RUN optimizer for easy use in papers.docx │ │ │ ├── Main.m │ │ │ ├── RUN.m │ │ │ ├── RungeKutta.m │ │ │ └── initialization.m │ │ ├── BenchmarkFunctions.m │ │ ├── Brief version of INFO algorithm for easy use of researchers.docx │ │ ├── INFO.m │ │ ├── Main.m │ │ └── initialization.m │ ├── README.md │ └── initialization.m └── PYTHON │ ├── Fuction.py │ ├── INFO.py │ ├── __pycache__ │ ├── Fuction.cpython-38.pyc │ └── INFO.cpython-38.pyc │ └── main.py ├── 2022--蛇优化(Snake Optimizer, SO) ├── MATLAB │ ├── Chung_Reynolds.m │ ├── SO.m │ ├── license.txt │ └── main.m ├── PYTHON │ ├── __pycache__ │ │ └── utils.cpython-38.pyc │ ├── main.py │ └── utils.py └── Snake Optimizer A novel meta-heuristic optimization algorithm.pdf ├── 2022-沙丘猫群优化算法（Sand Cat swarm optimization，SCSO） ├── 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