Using Engineering View to Design Better Multi-objective Evolutionary Algorithms

郑波尽; 李元香

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Using Engineering View to Design Better Multi-objective Evolutionary Algorithms

首发时间：2006-11-30

Zheng Bojin ¹ Li Yuanxiang ¹

1、Wuhan University

Abstract：Multi-Objective Optimization Problems(MOPs) are very difficult to solve by traditional methods, so many Evolutionary Algorithms were designed to deal with them. In this paper, we discussed Multi-objective Evolutionary Algorithms(MOEAs) in engineering view, and proposed a new unified framework. According to the framework, we find some possible key points to the design of MOEAs and these key points are discussed. Then we introduce a new MOEA and test it with some famous benchmark functions. The numerical experiments show that the algorithm can obtain more non-dominant solutions which distribute equably and approximately to the Pareto front in less time than some algorithms such as SPEA2, NSGAII and HPMOEA.

keywords： Multi-Objective Optimization, Framework, Evolutionary Algorithm, Pareto Front

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Using Engineering View to Design Better Multi-objective Evolutionary Algorithms

郑波尽 ¹ 李元香 ¹

1、武汉大学

摘要：Multi-Objective Optimization Problems(MOPs) are very difficult to solve by traditional methods, so many Evolutionary Algorithms were designed to deal with them. In this paper, we discussed Multi-objective Evolutionary Algorithms(MOEAs) in engineering view, and proposed a new unified framework. According to the framework, we find some possible key points to the design of MOEAs and these key points are discussed. Then we introduce a new MOEA and test it with some famous benchmark functions. The numerical experiments show that the algorithm can obtain more non-dominant solutions which distribute equably and approximately to the Pareto front in less time than some algorithms such as SPEA2, NSGAII and HPMOEA.

关键词： Multi-Objective Optimization, Framework, Evolutionary Algorithm, Pareto Front

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1. 教育部博士点基金（20030486049）

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Zheng Bojin ,Li Yuanxiang . Using Engineering View to Design Better Multi-objective Evolutionary Algorithms[EB/OL]. Beijing:Sciencepaper Online[2006-11-30]. https://www.paper.edu.cn/releasepaper/content/200611-907.

No.1008889298116488****

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论文编号	200611-907
论文题目	Using Engineering View to Design Better Multi-objective Evolutionary Algorithms
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