An efficient evolutionary algorithm for multiobjective optimization problems

被引：2

作者：

Chen, Wei-Mei ^{[1
]}

Lee, Wei-Ting ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 106, Taiwan

来源：

2007 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2007年

关键词：

D O I：

10.1109/PACRIM.2007.4313169

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

An efficient evolutionary algorithm (EA) for the multiobjective optimization problems is proposed. To reduce the computational cost, a variant of k-d tree is used in our approach to preserve all nondominated solutions. Our experiments demonstrate that the algorithm outperforms the other popular multiobjective EA's, especially for the higher dimensional cases.

引用

页码：30 / 33

页数：4

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