New Challenges for Memetic Algorithms on Continuous Multi-objective Problems

被引：0

作者：

Lara, Adriana ^{[1
]}

Schuetze, Oliver ^{[1
]}

Coello Coello, Carlos A. ^{[1
]}

机构：

[1] CINVESTAV, IPN, Dept Comp Sci, Mexico City, DF, Mexico

来源：

GECCO-2010 COMPANION PUBLICATION: PROCEEDINGS OF THE 12TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2010年

关键词：

Multi-objective Search Directions; Memetic Algorithms; PARETO FRONT APPROXIMATIONS; LOCAL SEARCH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents the main aspects to tackle when designing memetic algorithms using gradient-based local searchers. We address the main drawbacks and advantages of this coupling, when focusing on the efficiency of the local search stage. We conclude with some guidelines and draw further research paths in these topics.

引用

页码：1967 / 1970

页数：4

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