ISPAES: Evolutionary multi-objective optimization with constraint handling

被引：0

作者：

Aguirre, AH ^{[1
]}

Rionda, SB ^{[1
]}

Lizarraga, G ^{[1
]}

Coello, CC ^{[1
]}

机构：

[1] Mineral Valenciana, Dept Comp Sci, Ctr Res Math, Guanajuato 36240, Mexico

来源：

PROCEEDINGS OF THE FOURTH MEXICAN INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE (ENC 2003) | 2003年

关键词：

D O I：

10.1109/ENC.2003.1232913

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article we introduce Inverted and Shrinkable Pareto Archived Evolutionary Strategies, IS-PAES, an evolutionary algorithm for multiple objective optimization with constraint handling. IS-PAES inherits from PAES the use of an adaptable grid to control diversity, but here this grid can grow and shrink dinamically until the constraints are met. We also propose a novel approach to remove unfeasible individuals from the population while keeping high population diversity. Several examples of the literature are used to show the potential of ISPAES.

引用

页码：338 / 345

页数：8

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