A Cultural Algorithm for Constrained Optimization

  • Authors:
  • Carlos A. Coello Coello;Ricardo Landa Becerra

  • Affiliations:
  • -;-

  • Venue:
  • MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

In this paper, we propose a technique that exploits knowledge extracted during the search to improve the performance of an evolutionary algorithm used for global optimization. The approach is based on a cultural algorithm combined with evolutionary programming and we show that produces highly competitive results at a relatively low computational cost.