代码搜索:Performs

找到约 4,693 项符合「Performs」的源代码

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m adjswapmutation.m

function [child] = adjswapmutation(par,bounds,genInfo,Ops) % Adjswap mutation performs a swap of two adjacent % genes in a permutation % % function [newSol] = adjswapmutation(parent,bounds,Ops) % pare
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m vitenc.m

function y = VitEnc(G, x); % % VitEnc Viterbi Encoder function - performs Viterbi Encoder according to % genration polynom % % Inputs: x - input data (binary form) % G =
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m xovdp.m

% XOVDP.M (CROSSOVer Double Point) % % This function performs double point crossover between pairs of % individuals and returns the current generation after mating. % % Syntax: NewChrom =
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m recombin.m

% RECOMBIN.M (RECOMBINation high-level function) % % This function performs recombination between pairs of individuals % and returns the new individuals after mating. The function handles %
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m xovsh.m

% XOVSH.M (CROSSOVer SHuffle) % % This function performs shuffle crossover between pairs of % individuals and returns the current generation after mating. % % Syntax: NewChrom = xovsh(Old
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m reclin.m

% RECLIN.M (RECombination extended LINe) % % This function performs extended line recombination between % pairs of individuals and returns the new individuals after mating. % % Syntax: New
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m adjswapmutation.m

function [child] = adjswapmutation(par,bounds,genInfo,Ops) % Adjswap mutation performs a swap of two adjacent % genes in a permutation % % function [newSol] = adjswapmutation(parent,bounds,Ops) % pare
www.eeworm.com/read/324301/13274291

m adjswapmutation.m

function [child] = adjswapmutation(par,bounds,genInfo,Ops) % Adjswap mutation performs a swap of two adjacent % genes in a permutation % % function [newSol] = adjswapmutation(parent,bounds,Ops) % pare
www.eeworm.com/read/324300/13274500

m adjswapmutation.m

function [child] = adjswapmutation(par,bounds,genInfo,Ops) % Adjswap mutation performs a swap of two adjacent % genes in a permutation % % function [newSol] = adjswapmutation(parent,bounds,Ops) % pare
www.eeworm.com/read/238843/13321049

m dcagg.m

function cluster = DCAgg(Distance, k) %DCAGG Performs agglomerative clustering % Cluster = DCAGG(Distance, Method, k) where Distance is % square dissimilarity matrix, with Inf on leading diagonal,