Description: Genetic algorithms to solve complex knapsack problem, written in Java. The backpack has three properties, 500 things, 50 bags. Solving package and package goods weight difference between the minimum, and have special requirements with a backpack of items property. The program is easy to modify.
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KGaBinnn\GaBin\.classpath
........\.....\.project
........\.....\bin\Data.class
........\.....\...\eighteen\Data.class
........\.....\...\........\GaBinMain.class
........\.....\...\EighteenEnglishVersion\Data.class
........\.....\...\......................\GaBinMain.class
........\.....\...\fifthteen\Data.class
........\.....\...\.........\Evolution.class
........\.....\...\.........\GaBinMain.class
........\.....\...\.ourteenth\14.txt
........\.....\...\..........\Data.class
........\.....\...\..........\GaBinMain.class
........\.....\...\GaBinMain.class
........\.....\...\sixteen\Data.class
........\.....\...\.......\GaBinMain.class
........\.....\...\thirteenth\Select.class
........\.....\...\.welth\Data.class
........\.....\...\......\GaBinMain.class
........\.....\...\Wasted\Animation$AnimFrame.class
........\.....\...\......\Animation.class
........\.....\...\......\ArrayInt.class
........\.....\...\......\Data.class
........\.....\...\......\GaBinMain.class
........\.....\...\......\Nineth\Data.class
........\.....\...\......\......\GaBinMain.class
........\.....\...\鍙﹀
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