文件名称:nsga2
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这是一个遗传算法实现多目标优化。对多目标优化,non-domonated整理已用。设计变量可以是二进制,整数,实数的或枚举数据类型。
-This is a GA implementation for multi-objective optimization. For multi-objective optimization, non-domonated sorting has been used. The design variables can be Binary, Integer, Real or Enumerated data type.
-This is a GA implementation for multi-objective optimization. For multi-objective optimization, non-domonated sorting has been used. The design variables can be Binary, Integer, Real or Enumerated data type.
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nsga2.docx
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