Particle evolutionary swarm for design reliability optimization

  • Authors:
  • Angel E. Muñoz Zavala;Enrique R. Villa Diharce;Arturo Hernández Aguirre

  • Affiliations:
  • Department of Computer Science, Center for Research in Mathematics (CIMAT), Guanajuato, Gto., México;Department of Computer Science, Center for Research in Mathematics (CIMAT), Guanajuato, Gto., México;Department of Computer Science, Center for Research in Mathematics (CIMAT), Guanajuato, Gto., México

  • Venue:
  • EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
  • Year:
  • 2005

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Abstract

This papers proposes an enhanced Particle Swarm Optimization algorithm with multi-objective optimization concepts to handle constraints, and operators to keep diversity and exploration. Our approach, PESDRO, is found robust at solving redundancy and reliability allocation problems with two objective functions: reliability and cost. The approach uses redundancy of components, diversity of suppliers, and incorporates a new concept called Distribution Optimization. The goal is the optimal design for reliability of coherent systems. The new technique is compared against algorithms representative of the state-of-the-art in the area by using a well-known benchmark. The experiments indicate that the proposed approach matches and often outperforms such methods.