代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
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m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/369048/9666444

m mut.m

% MUT.m % % This function takes the representation of the current population, % mutates each element with given probability and returns the resulting % population. % % Syntax: NewChrom = mut(Old
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m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/269572/11092151

m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/268211/11149422

m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/268107/11154268

m mutation.m

function Ret=Mutation(PMutation,LenChrom,Individuals,SizePop,Opts,Bound,Pop) % In this function,it fulfils a mutation among chromosomes % PMutation input : probability of mutation % LenChrom inpu
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asv cross.asv

function Ret=Cross(PCross,LenChrom,Individuals,SizePop,Opts,Pop) % In this function,it fulfils a crossover among Chromosomes % PCross input : probability of crossover % LenChrom input : Lengt
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m cross.m

function Ret=Cross(PCross,LenChrom,Individuals,SizePop,Opts,Pop) % In this function,it fulfils a crossover among Chromosomes % PCross input : probability of crossover % LenChrom input : Lengt
www.eeworm.com/read/412955/11173305

m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/300403/13915176

m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O