Description: This demo program to simulate any number of individuals randomly arranged in the two-dimensional panel, to adapt to the evolution of the highest property values .
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遗传算法\遗传算法\ga_demo\.classpath
........\........\.......\.project
........\........\.......\ga_demo\ChromComparator.class
........\........\.......\.......\Chromosome.class
........\........\.......\.......\DemoPanel$ChromSpace.class
........\........\.......\.......\DemoPanel$CtrlPanel$1.class
........\........\.......\.......\DemoPanel$CtrlPanel.class
........\........\.......\.......\DemoPanel.class
........\........\.......\.......\Fitness.class
........\........\.......\META-INF\MANIFEST.MF
........\........\ga_demo.jar
........\........\Project\.classpath
........\........\.......\.project
........\........\.......\bin\ga_demo\ChromComparator.class
........\........\.......\...\.......\Chromosome.class
........\........\.......\...\.......\DemoPanel$ChromSpace.class
........\........\.......\...\.......\DemoPanel$CtrlPanel$1.class
........\........\.......\...\.......\DemoPanel$CtrlPanel.class
........\........\.......\...\.......\DemoPanel.class
........\........\.......\...\.......\Fitness.class
........\........\.......\src\ga_demo\ChromComparator.java
........\........\.......\...\.......\Chromosome.java
........\........\.......\...\.......\DemoPanel.java
........\........\.......\...\.......\Fitness.java
........\........\.......\bin\ga_demo
........\........\.......\src\ga_demo
........\........\ga_demo\ga_demo
........\........\.......\META-INF
........\........\Project\bin
........\........\.......\src
........\........\ga_demo
........\........\Project
........\遗传算法
遗传算法
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