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.
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页码：338 / 345
页数：8
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