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/395890/2432492

m complete_o_crossover.m

%交叉 %遗传算法子程序 %Name: crossover.m %交叉 function [newpop]=complete_o_crossover(popsize,pop,pc,fitvalue,fun_num,up_range,down_range,var_num) %函数说明 %入口参数:pop 当前处理的种群, % popsize
www.eeworm.com/read/395890/2432554

m my_sga_selection.m

%遗传算法子程序 %Name: selection.m %选择复制 function [newpop,dna_best,dna_best_value]=my_sga_selection(popsize,pop,fitvalue) %函数说明 %入口参数:pop 当前处理的种群, % fitvalue 适应度值数组 % pops
www.eeworm.com/read/395890/2432560

m complete_o_crossover.m

%交叉 %遗传算法子程序 %Name: crossover.m %交叉 function [newpop]=complete_o_crossover(popsize,pop,pc,fitvalue,fun_num,up_range,down_range,var_num) %函数说明 %入口参数:pop 当前处理的种群, % popsize
www.eeworm.com/read/395890/2432620

m my_sga_selection.m

%遗传算法子程序 %Name: selection.m %选择复制 function [newpop,dna_best,dna_best_value]=my_sga_selection(popsize,pop,fitvalue) %函数说明 %入口参数:pop 当前处理的种群, % fitvalue 适应度值数组 % pops
www.eeworm.com/read/395890/2432626

m complete_o_crossover.m

%交叉 %遗传算法子程序 %Name: crossover.m %交叉 function [newpop]=complete_o_crossover(popsize,pop,pc,fitvalue,fun_num,up_range,down_range,var_num) %函数说明 %入口参数:pop 当前处理的种群, % popsize
www.eeworm.com/read/378175/2689985

m example5_34.m

function NewChrIx = sus(FitnV,Nsel); % FitnV-种群中每个染色体的适值 % Nsel-选择的染色体数目 [Nind,ans] = size(FitnV); % 进行随机采样 cumfit = cumsum(FitnV); trials = cumfit(Nind) / Nsel * (rand + (0:Nsel-1)'); Mf = c
www.eeworm.com/read/367675/2840096

m example5_34.m

function NewChrIx = sus(FitnV,Nsel); % FitnV-种群中每个染色体的适值 % Nsel-选择的染色体数目 [Nind,ans] = size(FitnV); % 进行随机采样 cumfit = cumsum(FitnV); trials = cumfit(Nind) / Nsel * (rand + (0:Nsel-1)'); Mf = c
www.eeworm.com/read/359763/2972335

m example5_34.m

function NewChrIx = sus(FitnV,Nsel); % FitnV-种群中每个染色体的适值 % Nsel-选择的染色体数目 [Nind,ans] = size(FitnV); % 进行随机采样 cumfit = cumsum(FitnV); trials = cumfit(Nind) / Nsel * (rand + (0:Nsel-1)'); Mf = c
www.eeworm.com/read/393857/8259023

m c71.m

function NewChrIx = sus(FitnV,Nsel); % FitnV-种群中每个染色体的适值 % Nsel-选择的染色体数目 [Nind,ans] = size(FitnV); % 进行随机采样 cumfit = cumsum(FitnV); trials = cumfit(Nind) / Nsel * (rand + (0:Nsel-1)'); Mf = c
www.eeworm.com/read/267744/11165243

m example5_34.m

function NewChrIx = sus(FitnV,Nsel); % FitnV-种群中每个染色体的适值 % Nsel-选择的染色体数目 [Nind,ans] = size(FitnV); % 进行随机采样 cumfit = cumsum(FitnV); trials = cumfit(Nind) / Nsel * (rand + (0:Nsel-1)'); Mf = c