The Performance of a New Version of MOEA/D on CEC09 Unconstrained MOP Test Instances

被引：463

作者：

Zhang, Qingfu ^{[1
]}

Liu, Wudong ^{[1
]}

Li, Hui ^{[2
]}

机构：

[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

[2] Univ Nottingham, Dept Comp Sci, Nottingham NG8 1BB, England

来源：

2009 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-5 | 2009年

关键词：

MOEA/D; Test problems; Multiobjective optimization; GENETIC LOCAL SEARCH; ALGORITHM;

D O I：

10.1109/CEC.2009.4982949

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been tested on all the CEC09 unconstrained MOP test instances.

引用

页码：203 / +

页数：5

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