Dynamic optimization using self-adaptive differential evolution

  • Authors:

  • Janez Brest;Aleš Zamuda;Borko Boškovic;Mirjam Sepesy Maučec;Viljem Žumer

  • Affiliations:

  • Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia;Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia

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

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Abstract

In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method with aging mechanism is used. The performance of the jDE algorithm is evaluated on the set of benchmark functions provided for the CEC 2009 special session on evolutionary computation in dynamic and uncertain environments.