Description: Genetic algorithm is simulated Darwinian natural selection of genetic selection and evolution process model. It' s thought from biological genetics and survival of the fittest laws of nature, is a " survival+ detection" iterative process of search algorithm. Genetic algorithms in a group all the individuals targeted, and technical guidance on the use of a randomized coded efficiently search parameter space.
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File list (Check if you may need any files):
GAOT\arithXover.m
....\b2f.m
....\binaryMutation.m
....\boundaryMutation.m
....\calcbits.m
....\Contents.m
....\coranaEval.m
....\coranaMin.m
....\delta.m
....\f2b.m
....\ga.m
....\gademo1.m
....\gademo1eval1.m
....\gademo2.m
....\gademo3.m
....\gaot.dvi
....\gaot.ps
....\gaotindex.html
....\heuristicXover.m
....\index.html
....\initialize.m
....\maxGenTerm.m
....\multiNonUnifMutation.m
....\nonUnifMutation.m
....\normGeomSelect.m
....\optMaxGenTerm.m
....\parse.m
....\README
....\roulette.m
....\simpleXover.m
....\tournSelect.m
....\unifMutation.m
GAOT
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