A multipopulation cultural algorithm using fuzzy clustering

  • Authors:
  • J. Alami;A. El Imrani;A. Bouroumi

  • Affiliations:
  • Laboratoire LCS, Faculté des Sciences, Université Mohammed V-Agdal, Rabat, Morocco;Laboratoire LCS, Faculté des Sciences, Université Mohammed V-Agdal, Rabat, Morocco;Laboratoire LCS, Faculté des Sciences, Université Mohammed V-Agdal, Rabat, Morocco

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2007

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Abstract

In this paper, we propose a new model for multimodal function optimization, based on the concepts of cultural algorithms and fuzzy clustering. Fuzzy clustering is used in order to partition a same population into communicating subpopulations which evolve in parallel, whilst cultural exchange ensures preserving population diversity. The ability of this model to identify global/local optima without loss of diversity is demonstrated using several multimodal test functions, including a deceptive example.