IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts

نویسندگان

  • Arturo Hernández Aguirre
  • Salvador Botello Rionda
  • Giovanni Lizárraga Lizárraga
  • Carlos A. Coello Coello
چکیده

This paper introduces a new constraint-handling method called InvertedShrinkable PAES (IS-PAES), which focuses the search effort of an evolutionary algorithm on specific areas of the feasible region by shrinking the constrained space of single-objective optimization problems. IS-PAES uses an adaptive grid as the original PAES (Pareto Archived Evolution Strategy). However, the adaptive grid of IS-PAES does not have the serious scalability problems of the original PAES. The proposed constraint-handling approach is validated with several examples taken from the standard literature on evolutionary optimization.

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تاریخ انتشار 2003