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nsga-Ⅱ算法

于 2022-02-03 发布 文件大小:51.67 kB
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我们用NSGAII算法求多目标优化问题的Pareto最优解集。 首先按某种方法在可行解集中生成N个个体,组成一个规模为N的种群P作为初始种群。 第一部分:非支配集排序 将P按某种策略进行分类排序为m个子集P1,P2,...,Pm,且满足非支配集序列性质: 1)所有子集的并集为P; 2)子集之间互不相交; 3)Pk+1中的个体直接受Pk中个体的支配(0

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