Parallel migration model employing various adaptive variants of differential evolution

  • Authors:
  • Petr Bujok;Josef Tvrdík

  • Affiliations:
  • Department of Computer Science, University of Ostrava, Czech Republic;Institute for Research and Applications of Fuzzy Modeling, Centre of Excellence IT4Innovations, Division of University of Ostrava, Ostrava, Czech Republic

  • Venue:
  • SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
  • Year:
  • 2012

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Abstract

The influence of migration on the performance of differential evolution algorithm is studied. Six adaptive variants of differential evolution are applied to a parallel migration model with a star topology. The parallel algorithm with several different settings of parameters controlling the migration was experimentally compared with the adaptive serial algorithms in six benchmark problems of dimension D=30. The parallel algorithm was more efficient than the best serial adaptive DE variant in a half of the problems.