both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures, the UCI based on two data sets, can run the program directly observe the effect.

Packet : 19854819agaandlaga.rar filelist
遗传算法\AGA与LAGA比较\AGA和LAGA比较.doc
遗传算法\AGA与LAGA比较\a.txt
遗传算法\AGA与LAGA比较\adapt_pc.m
遗传算法\AGA与LAGA比较\b.txt
遗传算法\AGA与LAGA比较\badest.m
遗传算法\AGA与LAGA比较\best.m
遗传算法\AGA与LAGA比较\cal_difference1.m
遗传算法\AGA与LAGA比较\calfitvalue.m
遗传算法\AGA与LAGA比较\chain.m
遗传算法\AGA与LAGA比较\crossover.m
遗传算法\AGA与LAGA比较\crossover_adapt_pc.m
遗传算法\AGA与LAGA比较\initpop.m
遗传算法\AGA与LAGA比较\mainprog_compare_16.m
遗传算法\AGA与LAGA比较\mainprog_compare_40.m
遗传算法\AGA与LAGA比较\mutation.m
遗传算法\AGA与LAGA比较\selection.m
遗传算法\AGA与LAGA比较\wave0.txt
遗传算法\AGA与LAGA比较\wave1.txt
遗传算法\AGA与LAGA比较\~$应交叉概率与链码改进比较（变异概率0.05）全.doc
遗传算法\AGA与LAGA比较\数据.doc
遗传算法\AGA与LAGA比较
遗传算法\说明.doc
遗传算法

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