CEC 2017 bound constrained benchmarks

所属分类:进化算法
开发工具:matlab
文件大小:25329KB
下载次数:42
上传日期:2020-05-07 16:18:53
上 传 者GHao
说明:  CEC2017前几名的MATLAB算法实现 有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin 各种参数都可以调整,包括种群数量、F因子、变异率、交叉率等
(The realization of MATLAB algorithm for the top few of cec217. There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin. Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

文件列表:
CEC 2017 bound constrained benchmarks\Bound-Constrained-Comparisons.pdf (1360639, 2020-03-06)
CEC 2017 bound constrained benchmarks\Codes-of-Top-Methods-and-results.zip (22821612, 2020-03-06)
CEC 2017 bound constrained benchmarks\codes.rar (7465979, 2020-03-06)
CEC 2017 bound constrained benchmarks\Definitions of CEC2017 benchmark suite final version updated.pdf (2424499, 2020-03-07)
CEC 2017 bound constrained benchmarks\Shifting and Rotation for CEC 2017.rar (2385, 2020-03-06)
CEC 2017 bound constrained benchmarks (0, 2020-05-07)

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