文件名称:CEC 2017 bound constrained benchmarks
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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.)
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.)
相关搜索： IEEE CEC 2017 top算法
CEC2017
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 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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