MATLAB

實現算法代碼：

GA

(遺傳算法)——整數編碼

function

[BestGene,aa]

=

GA(MaxGeneration,GeneSize,GeneNum,pcross,pmute,minGene,maxGene)

Parent?=?Init(GeneSize,GeneNum,minGene,maxGene);

[BestGene,Parent]?=?KeepBest(Parent);

aa?=?[];

for?i?=?1:MaxGeneration

[i?1/value(BestGene)]

Child?=?chose(Parent);

Child?=?cross(Child,pcross);

Child?=?mute(Child,pmute,maxGene);

[BestGene,Parent]?=?KeepBest(Child);

aa?=?[aa;value(BestGene)];

end

function?GeneInit?=?Init(GeneSize,GeneNum,minGene,maxGene)

GeneInit?=?[];

for?i?=?1:GeneSize

x?=?[];?x?=?ceil(rand(1,GeneNum).*(maxGene-minGene))?+?minGene;

GeneInit?=?[GeneInit;x];

end

GeneInit?=?[GeneInit;x];

function?Child?=?chose(Parent)

GeneSize?=?size(Parent,1);

for?i?=?1:GeneSize

x?=?Parent(i,:);

val(i)?=?value(x);

end

ValSum?=?sum(val);

val?=?val?/?ValSum;

for?i?=?2:GeneSize

val(i)?=?val(i)?+?val(i-1);

end

for?i?=?1:GeneSize

randval?=?rand;

if?randval?<=?val(1)

Child(i,:)?=?Parent(1,:);

end

for?j?=?2:GeneSize

if?randval?>?val(j-1)?&&?randval?<=?val(j)

總結

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