├── .gitattributes ├── .gitignore ├── 1.Exam ├── 20-S2-Q1.pdf ├── 20-S2-Q2.pdf ├── 20-S2-Q3.pdf ├── 20-S2-Q4.pdf ├── 20-S2-Q5-V2.pdf ├── 21-S2-Q1.pdf ├── 21-S2-Q2-V3.pdf ├── 21-S2-Q3-V2.pdf ├── 21-S2-Q4.pdf ├── 22-S2-Q1-V3.pdf ├── 22-S2-Q2-V2.pdf ├── 22-S2-Q3-V3.pdf ├── 22-S2-Q4.pdf ├── 23-S1-Q1-V3.pdf ├── 23-S1-Q2.pdf ├── 23-S1-Q3-V2.pdf ├── 23-S1-Q4.pdf ├── 23-S2-Q1-V2.pdf ├── 23-S2-Q2-V2.pdf ├── 23-S2-Q3.pdf ├── 23-S2-Q4-V2.pdf ├── 24-S1-Q1.pdf ├── 24-S1-Q2-V2.pdf ├── 24-S1-Q3-V2.pdf └── 24-S1-Q4.pdf ├── 2.PPT Example ├── 1.GA │ ├── 1.4.2 Eight-Queen-v2.pdf │ ├── 1.4.2 P、NP、NP-complete 和 NP-hard 类 举例-V2.pdf │ ├── 1.4.2 P、NP、NP-complete 和 NP-hard 类 举例.pdf │ ├── 1.4.2 TSP belong to NP-complete.pdf │ ├── 3 2.5 Example understand.pdf │ ├── 3.3 The 8-queens problem Recombination.pdf │ ├── 3.3.4-Eight-Queens-Recombination.pdf │ ├── 3.4 EC & neighbourhood search.pdf │ ├── 3.4 SGA EXAMPLE f(x) = x^2.pdf │ ├── 4.5.1 mapping read values on bit string-V2.pdf │ ├── 4.5.1 mapping read values on bit string.pdf │ ├── 4.6.10 循环交叉.pdf │ ├── 4.6.11边缘重组-v2.pdf │ ├── 4.6.8顺序1阶交叉.pdf │ ├── 4.6.9 部分映射交叉(PMX) EXAMPLE1.pdf │ ├── 4.6.9 部分映射交叉(PMX) EXAMPLE2.pdf │ ├── 4.6.9 部分映射交叉(PMX) PPT.pdf │ ├── 4.7 Tree Representation.pdf │ ├── 5.4.1 Linear Ranking.pdf │ ├── 5.4.2 Exponential Ranking.pdf │ ├── 5.5.1 Tournament selection-with replacement-P smaller than 1.pdf │ ├── 5.5.1 Tournament selection-without replacement-P equal 1.pdf │ └── 5.9 Selection pressure.pdf └── 2.ML │ ├── 10 clustering.pdf │ ├── 10.2.1 Minkowsk distance.pdf │ ├── 10.4.4 K-means-step.pdf │ ├── 10.5.4 HAC steps.pdf │ ├── 10.6.2 GMM procedure.pdf │ ├── 10.7.10 DBSCAN steps.pdf │ ├── 11.5 Calinski-Harabasz index.pdf │ ├── 11.6 Rand Index.pdf │ ├── 2.2 Data Types.pdf │ ├── 2.3 Data Structure Example.pdf │ ├── 2.4.2.1 data dispersion.pdf │ ├── 2.4.2.2 Measuring data value position.pdf │ ├── 2.4.3.1 Box plots-V2.pdf │ ├── 2.4.3.1 Box plots.pdf │ ├── 3.8.6 Maximum likelihood parameter estimation Example.pdf │ ├── 5.2.2.2 SVM w b-V2.pdf │ ├── 7.1 evaluation procedures.pdf │ ├── 7.2 Performance Evaluation Metrics Titles.pdf │ ├── 7.2 Performance Evaluation Metrics.pdf │ ├── 7.2.5 Precision and Recall F score Example.pdf │ ├── 9.3.1 Fisher's Ratio.pdf │ ├── 9.3.2 Mutual Information.pdf │ ├── 9.4.1 Search algorithm.pdf │ ├── 9.4.2.2.1 Mahalanobis distance-based separability measure-V3.pdf │ └── 9.4.2.2.2 Scatter-based separability measure-V2.pdf ├── 3.Understand ├── 6407考前必背.pdf ├── EE6407-热门考点分析.xlsx ├── Eight Queens.pdf ├── Example of Branch and bound 分支定界.pdf ├── Example of simulated annealing模拟退火.pdf ├── GA-v2.pdf ├── Metaheuristics 元启发式方法VS Deterministic Algorithm确定性方法.pdf ├── NP problem.pdf ├── No Free Lunch in optimization.pdf ├── P NP NP-complete NP-hard Example-V3.pdf ├── Rand Index.pdf └── TSP.pdf ├── 4.Resource ├── 1.OUTLINE │ └── EE6407-OUTLINE.pdf ├── 2.EXAM-SUMMARY-CN │ └── 6407考试原题.docx └── 3.REFERENCES │ ├── Computational Intelligence. An Introduction (Andries P. Engelbrecht) (Z-Library).pdf │ ├── Introduction-To-Evolutionary-Computing.pdf │ ├── Pattern Recognition and Machine Learning (Christopher M. Bishop) (Z-Library).pdf │ ├── The Elements of Statistical Learning Data Mining, Inference, and Prediction (2nd edition) (12print 2017) (Trevor Hastie, Robert Tibshirani etc.) (Z-Library).pdf │ └── 遗传算法-基本术语(中英文对照).pdf ├── LICENSE ├── README.assets └── 3b54fe6d9ee63d988dc3834460c147b.jpg ├── README.md ├── README_CN.md └── assets └── 3b54fe6d9ee63d988dc3834460c147b.jpg /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/freshman2233/EE6407-Genetic-Algorithms-And-Machine-Learning/HEAD/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/freshman2233/EE6407-Genetic-Algorithms-And-Machine-Learning/HEAD/.gitignore -------------------------------------------------------------------------------- /1.Exam/20-S2-Q1.pdf: 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