CMA-ES

代码说明：

  一种继续概率学习矩阵的优化算法，优化精度和计算时间都很不错，是目前基本最好的启发式算法，里面有测试函数(A continuing study probability matrix optimization algorithm to optimize the accuracy and computational time is very good, the best is the basic heuristic algorithm, which has test function)

文件列表：

CMA-ES
......\ackley_func_data.mat,984,2005-02-18
......\ackley_M_D10.mat,984,2005-02-15
......\ackley_M_D2.mat,216,2005-02-15
......\ackley_M_D30.mat,7384,2005-02-15
......\ackley_M_D50.mat,20184,2005-02-15
......\benchmark_func.m,22913,2012-07-24
......\CMAES.m,14817,2012-07-24
......\EF8F2_func_data.mat,984,2005-02-18
......\elliptic_M_D10.mat,984,2005-02-18
......\elliptic_M_D2.mat,216,2005-02-18
......\elliptic_M_D30.mat,7384,2005-02-18
......\elliptic_M_D50.mat,20184,2005-02-18
......\E_ScafferF6_func_data.mat,984,2005-02-18
......\E_ScafferF6_M_D10.mat,984,2005-02-16
......\E_ScafferF6_M_D2.mat,216,2005-02-16
......\E_ScafferF6_M_D30.mat,7384,2005-02-16
......\E_ScafferF6_M_D50.mat,20184,2005-02-16
......\fbias_data.mat,248,2005-02-17
......\global_optima.mat,20184,2005-02-18
......\griewank_func_data.mat,984,2005-02-18
......\griewank_M_D10.mat,984,2005-02-18
......\griewank_M_D2.mat,216,2005-02-18
......\griewank_M_D30.mat,7384,2005-02-18
......\griewank_M_D50.mat,20184,2005-02-18
......\high_cond_elliptic_rot_data.mat,984,2005-02-18
......\hybrid_func1_data.mat,8184,2005-02-18
......\hybrid_func1_M_D10.mat,8792,2005-02-14
......\hybrid_func1_M_D2.mat,7592,2005-02-18
......\hybrid_func1_M_D30.mat,72792,2005-02-14
......\hybrid_func1_M_D50.mat,200792,2005-02-14
......\hybrid_func2_data.mat,8184,2005-02-18
......\hybrid_func2_M_D10.mat,8792,2005-02-14
......\hybrid_func2_M_D2.mat,1112,2005-02-14
......\hybrid_func2_M_D30.mat,72792,2005-02-14
......\hybrid_func2_M_D50.mat,200792,2005-02-14
......\hybrid_func3_data.mat,8184,2005-02-18
......\hybrid_func3_HM_D10.mat,8792,2005-02-15
......\hybrid_func3_HM_D2.mat,1112,2005-02-15
......\hybrid_func3_HM_D30.mat,72792,2005-02-15
......\hybrid_func3_HM_D50.mat,200792,2005-02-15
......\hybrid_func3_M_D10.mat,8792,2005-03-07
......\hybrid_func3_M_D2.mat,1112,2005-03-07
......\hybrid_func3_M_D30.mat,72792,2005-03-07
......\hybrid_func3_M_D50.mat,200792,2005-03-07
......\hybrid_func4_data.mat,8184,2005-02-18
......\hybrid_func4_M_D10.mat,8792,2005-02-16
......\hybrid_func4_M_D2.mat,1112,2005-02-16
......\hybrid_func4_M_D30.mat,72792,2005-02-16
......\hybrid_func4_M_D50.mat,200792,2005-02-16
......\matlab.mat,29460,2010-03-01
......\myfun.m,4204,2012-07-24
......\myPCAPSO.asv,11264,2012-07-24
......\myPCAPSO.m,11264,2012-07-24
......\rastrigin_func_data.mat,984,2005-02-18
......\rastrigin_M_D10.mat,984,2005-02-16
......\rastrigin_M_D2.mat,216,2005-02-16
......\rastrigin_M_D30.mat,7384,2005-02-16
......\rastrigin_M_D50.mat,20184,2005-02-16
......\rosenbrock_func_data.mat,984,2005-02-18
......\schwefel_102_data.mat,984,2005-02-18
......\schwefel_206_data.mat,21040,2005-02-18
......\schwefel_213_data.mat,41104,2005-03-07
......\sphere_func_data.mat,984,2005-02-18
......\test_data.mat,104928,2005-03-09
......\weierstrass_data.mat,984,2005-02-18
......\weierstrass_M_D10.mat,984,2005-02-16
......\weierstrass_M_D2.mat,216,2005-02-16
......\weierstrass_M_D30.mat,7384,2005-02-16
......\weierstrass_M_D50.mat,20184,2005-02-16