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
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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
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www.eeworm.com/read/237384/13965341

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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m gausspdf.m

function [z] = gausspdf(x,mu,sigma); % GAUSSPDF Values of the Gaussian probability density % function % % GAUSSPDF(X,MU,SIGMA) returns the likelihood % of the point or set of points
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www.eeworm.com/read/205306/15321176

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
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m cross.m

function ret=Cross(pcross,lenchrom,chrom,sizepop,opts,pop) % In this function,it fulfils a crossover among chromosomes % pcorss input : probability of crossover % lenchrom input : length of a
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www.eeworm.com/read/104297/15699664

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
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www.eeworm.com/read/101825/15806228

m cross.m

function ret=Cross(pcross,lenchrom,chrom,sizepop,opts,pop) % In this function,it fulfils a crossover among chromosomes % pcorss input : probability of crossover % lenchrom input : length of a
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www.eeworm.com/read/391341/8408100

m nonunifmutation.m

function [parent] = nonUnifMutate(parent,bounds,Ops) % Non uniform mutation changes one of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian % distribution
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www.eeworm.com/read/189063/8492109

m nonunifm.m

function [parent] = nonUnifMutate(parent,bounds,Ops) % Non uniform mutation changes one of the parameters of the parent % based on a non-uniform probability distribution. This Gaussian % distrib
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