ISPAES: evolutionary multi-objective optimization with constraint handling

Author

Aguirre, A.H. ; Lizarraga, Giovanni

Author_Institution

Dept. of Comput. Sci., Miner. de Valencia, Guanajuato, Mexico

fYear

2003

fDate

8-12 Sept. 2003

Firstpage

338

Lastpage

345

Abstract

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 dynamically 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.

Keywords

Pareto optimisation; constraint handling; evolutionary computation; genetic algorithms; nonlinear programming; ISPAES; Inverted and Shrinkable Pareto Archived Evolutionary Strategies evolutionary algorithm; adaptable grid; constraint handling; control diversity; multiple objective optimization; population diversity; Computer science; Constraint optimization; Evolutionary computation; Genetic algorithms; Genetic programming; Mathematics; Minerals; Pareto optimization; Testing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science, 2003. ENC 2003. Proceedings of the Fourth Mexican International Conference on

Print_ISBN

0-7695-1915-6

Type

conf

DOI

10.1109/ENC.2003.1232913

Filename

1232913