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An Improved Multi-objective Population Migration Optimization Algorithm

机译:改进的多目标迁移优化算法

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The population migration algorithm is a very effective evolutionary algorithm to solve optimization problem, but there are little application in solving the multi-objective optimization problem. On the basis of vector evaluated method and Dynamic Weighted Aggregation combined those advantage, this paper presents a population migration algorithm based on vector evaluated method and Dynamic Weighted Aggregation for multi-objective optimization problems. At the same time, this paper population flow approach, which can more effective in local search. Experimental results show the algorithm is feasible.
机译:人口迁移算法是一种非常有效的进化算法来解决优化问题,但在解决多目标优化问题时几乎没有应用。基于向量评估的方法和动态加权聚集组合那些优点,本文介绍了一种基于矢量评估方法的群体迁移算法和用于多目标优化问题的动态加权聚集。与此同时,本文的纸张种群流动方法,可以更有效地在本地搜索。实验结果表明该算法是可行的。

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