代码搜索:Best 有哪些应用?

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www.eeworm.com/read/407878/11409212

m best.m

function [bestindividual,bestfit]=best(pop,fitvalue) [px,py]=size(pop); bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2:px if fitvalue(i)>bestfit bestindividual=pop(i,:);
www.eeworm.com/read/401636/11552690

m best.m

function [bestindividual,bestfit]=best(pop,fitvalue) global popsize N length; bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2:popsize if fitvalue(i)>bestfit % 最大的个体 be
www.eeworm.com/read/262387/11590075

m best.m

function [bestindividual,bestfit]=best(pop,fitvalue) global popsize N length; bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2:popsize if fitvalue(i)>bestfit % 最大的个体 bestindi
www.eeworm.com/read/260683/11708646

txt best.txt

80 0.250 0.005 4254 38.774347593
www.eeworm.com/read/345927/11781879

m best.m

% 2.7 求出群体中最大得适应值及其个体 %遗传算法子程序 %Name: best.m %求出群体中适应值最大的值 function [bestindividual,bestfit]=best(pop,fitvalue) [px,py]=size(pop); bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2;px; if
www.eeworm.com/read/258725/11846666

m best.m

% 2.7 求出群体中最大得适应值及其个体 %遗传算法子程序 %Name: best.m %求出群体中适应值最大的值 function [bestindividual,bestfit]=best(pop,fitvalue) [px,py]=size(pop); bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2;px; if
www.eeworm.com/read/154814/11924968

m best.m

% 2.7 求出群体中最大得适应值及其个体 %遗传算法子程序 %Name: best.m %求出群体中适应值最大的值 function [bestindividual,bestfit]=best(pop,fitvalue) [px,py]=size(pop); bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2;px; if
www.eeworm.com/read/154810/11925140

m best.m

% 2.7 求出群体中最大得适应值及其个体 %遗传算法子程序 %Name: best.m %求出群体中适应值最大的值 function [bestindividual,bestfit]=best(pop,fitvalue) [px,py]=size(pop); bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2;px; if
www.eeworm.com/read/256954/11963170

m best.m

function [bestindividual,bestfit]=best(pop,fitvalue) global popsize N length; bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2:popsize if fitvalue(i)>bestfit % 最大的个体 bestindi
www.eeworm.com/read/152326/12121083

m best.m

function [bestindividual,bestfit]=best(pop,fitvalue) global popsize N length; bestindividual=pop(1,:); bestfit=fitvalue(1); for i=2:popsize if fitvalue(i)>bestfit % 最大的个体 bestindi