遗传算法解决复杂背包问题，用Java编写。 该背包拥有3个属性，500个东西，50个包。 求解包与包之间物品重量差最小，并且同一个背包的物品属性有特殊要求。 该程序容易修改。-Genetic Algorithm on Bin Packing Proglem. 500 items, 3 parameters of each item. 50 containers, target: All 50 containers has the smallest weight differe

遗传算法解决复杂背包问题，用Java编写。该背包拥有3个属性，500个东西，50个包包。求解包与包之间物品重量差最小，并且同一个背包的物品属性有特殊要求。该程序容易修改。 -Genetic algorithms to solve complex knapsack problem, written in Java. The backpack has three properties, 500 things, 50 bags. Solving package and package goods

遗传算法解决背包问题和旅行商问题。 测试数据已经写入java代码中。 遗传算法的参数可以修改。-Genetic algorithm to solve the knapsack problem and the traveling salesman problem. The test data has been written to the java code. The parameters of the genetic algorithm can be modified.

通过Java编码实现标准遗传算法（SGA）解决背包问题(Through Java coding, the standard genetic algorithm (SGA) is implemented to solve knapsack problem)