CEC 2017 bound constrained benchmarks

代码说明：

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