An improved differential evolution algorithm for multi-objective optimization problems

被引：0
|
作者：
Yu G. [1 ]
机构：
[1] Research Institute of Information and System Computation Science, Beifang University of Nationalities, Yinchuan Ningxia
来源：
International Journal of Advancements in Computing Technology | 2011年 / 3卷 / 09期
关键词：
Differential evolution algorithm; Migration strategy; Multi-objective optimization problems; Select operator;
D O I：
10.4156/ijact.vol3.issue9.14
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an improved multi-objective differential evolution algorithm(IDEA) is proposed for multi-objective optimization problems. In IDEA, the select operator combines the advantages of DE with the mechanisms of Pareto-based ranking and distance density, besides, a randomly migration strategy is proposed. IDEA is implemented on four classical multi-objective problems, the simulation results indicate that the proposed IDEA efficiently achieves two goals of multi-objective optimization problems: find the solutions converse to the true Pareto-front and uniform spread along the front.
引用
收藏
页码：106 / 113
页数：7
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