Parameter control in differential evolution for constrained optimization

  • Authors:
  • Efrén Mezura-Montes;Ana Gabriela Palomeque-Ortiz

  • Affiliations:
  • National Laboratory on Advanced Informatics, Xalapa, Veracruz, Mexico;National Laboratory on Advanced Informatics, Xalapa, Veracruz, Mexico

  • Venue:
  • CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
  • Year:
  • 2009

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Abstract

In this paper we present the addition of parameter control in a Differential Evolution algorithm for constrained optimization. Three parameters are self-adapted by encoding them within each individual and a fourth parameter is controlled by a deterministic approach. A set of experiments are performed in order (1) to determine the performance of the modified algorithm with respect to its original version, (2) to analyze the behavior of the self-adaptive parameter values and (3) to compare it with respect to state-of-the-art approaches. Based on the obtained results, some findings regarding the values for the DE parameters as well as for the parameters related with the constraint-handling mechanism are discussed.