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  • Category : AI-NN-PR
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  • Update : 2012-11-26
  • Size : 102kb
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  • Author :周武静
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Introduction - If you have any usage issues, please Google them yourself
Genetic Algorithm (Genetic Algorithm) is a simulation of the biological theory of evolution Darwin' s natural selection and genetic mechanism of the process of biological evolution computing model is a natural evolutionary process by simulating the optimal solution search methods, it was first introduced by J. Holland United States University of Michigan Professor in 1975, first put forward, and published influential monographs " Adaptation in Natural and Artificial Systems" , GA gradually known the name, J. Holland, Professor of GA are usually made by a simple genetic algorithm (SGA ), a simple genetic algorithm source code.
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adjswapMutation.m
arithXover.m
b2f.m
binaryExample.m
binaryMutation.m
boundaryMutation.m
calcbits.m
Contents.m
coranaEval.m
coranaFeval.m
coranaMin.m
cyclicXover.m
delta.m
dists.m
EER.m
enhancederXover.m
erXover.m
f2b.m
fitness.m
floatExample.m
floatGradExample.m
ga.m
gademo.m
gademo1.m
gademo1eval1.m
gademo2.m
gademo3.m
gaMichEval.m
gaotv5.ps
gaZBGrad.m
gaZBGradEval.m
heuristicXover.m
initializega.m
initializeoga.m
inversionMutation.m
linerorderXover.m
maxGenTerm.m
multiNonUnifMutation.m
nonUnifMutation.m
normGeomSelect.m
optMaxGenTerm.m
orderBasedExample.m
orderbasedXover.m
parse.m
partmapXover.m
plotCorana.m
README
roulette.m
shiftMutation.m
simpleXover.m
singleptXover.m
startup.m
swapMutation.m
threeswapMutation.m
tournSelect.m
tspEval.m
unifMutation.m
uniformXover.m
Untitled3.m
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