代码搜索：种群进化
找到约 1,664 项符合「种群进化」的源代码
代码结果 1,664
www.eeworm.com/read/395890/2432351
m my_sga_care.m
function [newpop]=my_sga_care(popsize,newpop,fitvalue_tem,dna_best)
%
%函数说明
%入口参数：newpop 准子代,
% popsize 种群大小,
% fitvalue_tem 准子代的适应度值数组,
% dna_best 当前代的最优个
www.eeworm.com/read/395890/2432398
asv main_complete.asv
%
function [best_fit,best_fitvalue,out_dai]=main_complete(pop,n,popsize,chromlength,fun_num,up_range,down_range,var_num)
%函数说明
%入口参数：pop 当前处理的种群,
% n 绝对上限,
%
www.eeworm.com/read/395890/2432417
m my_sga_care.m
function [newpop]=my_sga_care(popsize,newpop,fitvalue_tem,dna_best)
%
%函数说明
%入口参数：newpop 准子代,
% popsize 种群大小,
% fitvalue_tem 准子代的适应度值数组,
% dna_best 当前代的最优个
www.eeworm.com/read/395890/2432465
asv main_complete.asv
%
function [best_fit,best_fitvalue,out_dai]=main_complete(pop,n,popsize,chromlength,fun_num,up_range,down_range,var_num)
%函数说明
%入口参数：pop 当前处理的种群,
% n 绝对上限,
%
www.eeworm.com/read/395890/2432484
m my_sga_care.m
function [newpop]=my_sga_care(popsize,newpop,fitvalue_tem,dna_best)
%
%函数说明
%入口参数：newpop 准子代,
% popsize 种群大小,
% fitvalue_tem 准子代的适应度值数组,
% dna_best 当前代的最优个
www.eeworm.com/read/395890/2432532
asv main_complete.asv
%
function [best_fit,best_fitvalue,out_dai]=main_complete(pop,n,popsize,chromlength,fun_num,up_range,down_range,var_num)
%函数说明
%入口参数：pop 当前处理的种群,
% n 绝对上限,
%
www.eeworm.com/read/395890/2432552
m my_sga_care.m
function [newpop]=my_sga_care(popsize,newpop,fitvalue_tem,dna_best)
%
%函数说明
%入口参数：newpop 准子代,
% popsize 种群大小,
% fitvalue_tem 准子代的适应度值数组,
% dna_best 当前代的最优个
www.eeworm.com/read/395890/2432599
asv main_complete.asv
%
function [best_fit,best_fitvalue,out_dai]=main_complete(pop,n,popsize,chromlength,fun_num,up_range,down_range,var_num)
%函数说明
%入口参数：pop 当前处理的种群,
% n 绝对上限,
%
www.eeworm.com/read/395890/2432618
m my_sga_care.m
function [newpop]=my_sga_care(popsize,newpop,fitvalue_tem,dna_best)
%
%函数说明
%入口参数：newpop 准子代,
% popsize 种群大小,
% fitvalue_tem 准子代的适应度值数组,
% dna_best 当前代的最优个
www.eeworm.com/read/378175/2689983
m example5_37.m
function [ObjVal,t,x] = objdopi(Chrom,sswitch);
% Chrom-当代种群的染色体
% sswitch-选择变量
% 目标函数维数
Dim = 20;
TSTART = 0;
TEND = 1;
STEPSIMU = min(0.1,abs((TEND-TSTART)/(Dim-1)));
TIMEVEC = linspace(TS