基于Pymoo解决多目标优化问题 (MOP) 的优化代码，该代码可解决变量全为离散变量、全为连续变量或混合变量时的多目标优化问题。NSGA2Post.py包含算法的评价、绘图及数据导出。
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基于Pymoo解决多目标优化问题 (MOP) 的优化代码，该代码可解决变量全为离散变量、全为连续变量或混合变量时的多目标优化问题。NSGA2Post.py包含算法的评价、绘图及数据导出。
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YanMing-lxb/YM-MOP-NSGA2
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基于Pymoo解决多目标优化问题 (MOP) 的优化代码，该代码可解决变量全为离散变量、全为连续变量或混合变量时的多目标优化问题。NSGA2Post.py包含算法的评价、绘图及数据导出。
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