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
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www.eeworm.com/read/390064/8487616

m communication.m

%种群通信函数 for i=1:city_n for j=1:city_n ph_table_A(i,j)=(ph_table_A(i,j)+ph_table_B(i,j))/2; ph_table_B(i,j)=ph_table_A(i,j); end end
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www.eeworm.com/read/180494/9305125

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
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www.eeworm.com/read/280463/10327814

m main.m

% tic clear Popsize=40; P_mutation=0.1; P_cross=0.6; real chrom; real currentbest_value; m=25; %权值和阈值的初始化范围 chrom=2*m.*rand(Popsize,21)-m; % 产生初始种群 temchrom=zeros(size(chr
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www.eeworm.com/read/380669/6966866

m communication.m

%种群通信函数 for i=1:city_n for j=1:city_n ph_table_A(i,j)=(ph_table_A(i,j)+ph_table_B(i,j))/2; ph_table_B(i,j)=ph_table_A(i,j); end end
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www.eeworm.com/read/464287/7166766

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
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www.eeworm.com/read/460021/7258672

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
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www.eeworm.com/read/198334/7940075

m communication.m

%种群通信函数 for i=1:city_n for j=1:city_n ph_table_A(i,j)=(ph_table_A(i,j)+ph_table_B(i,j))/2; ph_table_B(i,j)=ph_table_A(i,j); end end
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www.eeworm.com/read/142770/12922821

m gamain.m

function [betterscore,finalscore]=gamain(tspdist,popsize,pc,pm,alpha,k) %遗传算法主函数 %tspdist为距离矩阵,popsize种群规模, %pc交叉概率,pm变异概率,alpha选择操作参数,k迭代次数 %1 初始化 citynum=length(tspdist); gt=initializega(po
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www.eeworm.com/read/317947/13492971

cpp heredity.cpp

// 沈硕 自动化五班 3004203132 #include #include #include #include #include #include #define Whole_Num 128 //全体种群的个数 #define Cod
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www.eeworm.com/read/405263/11467314

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
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