文件名称:wangxiaoping
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遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法-Genetic algorithm (Genetic Algorithm) is a simulation of Darwinian evolution, natural selection and genetic mechanism of the calculation model of biological evolution is a natural evolutionary process through the simulation method of searching the best
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王小平版遗传算法的光盘源代码\Sources\GACODE.ZIP
............................\.......\GPQUICK.ZIP
............................\.......\SGPC1.1\CHANGES.TXT
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............................\.......\.......\SIN\DEFAULT.IN
............................\.......\.......\...\FITNESS.C
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............................\.......\.......\Regression\DEFAULT.IN
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............................\.......\.......\..........\SETUP.C
............................\.......\.......\LIB\CROSSO~1.C
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............................\.......\.......\...\GENERA~1.C
............................\.......\.......\...\GETPAR~1.C
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............................\.......\.......\...\MALLOC~1.REA
............................\.......\.......\...\MUTATION.C
............................\.......\.......\...\POPULA~1.C
............................\.......\.......\...\PROTO.H
............................\.......\.......\...\QSORT.C
............................\.......\.......\...\RANDOM.C
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............................\.......\.......\.....\PERFECT.LSP
............................\.......\.......\.....\PROB.H
............................\.......\.......\.....\SETUP.C
............................\.......\.......\ADF\CROSSO~1.C
............................\.......\.......\...\DEFAULT.IN
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............................\.......\.......\...\GENERA~1.C
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............................\.......\GPQUICK.ZIP
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............................\.......\.......\SIN\DEFAULT.IN
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............................\.......\.......\.....\SETUP.C
............................\.......\.......\ADF\CROSSO~1.C
............................\.......\.......\...\DEFAULT.IN
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............................\.......\.......\...\GETPAR~1.C
............................\.......\.......\...\GPC.C
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............................\.......\.......\...\MUTATION.C
............................\.......\.......\...\POPULA~1.C
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............................\.......\.......\...\TREEGEN.C
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