Particle swarm optimisation with spatial particle extension

  • Authors:
  • T. Krink;J. S. Vesterstrom;J. Riget

  • Affiliations:
  • Dept. of Comput. Sci., Aarhus Univ., Denmark;Dept. of Comput. Sci., Aarhus Univ., Denmark;Dept. of Comput. Sci., Aarhus Univ., Denmark

  • Venue:
  • CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
  • Year:
  • 2002

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Abstract

In this paper, we introduce spatial extension to particles in the PSO model in order to overcome premature convergence in iterative optimisation. The standard PSO and the new model (SEPSO) are compared w.r.t. performance on well-studied benchmark problems. We show that the SEPSO indeed managed to keep diversity in the search space and yielded superior results.