A Multi-population Particle Swarm Optimizer and its Application to Blind Multichannel Estimation

  • Authors:
  • Ying Gao;Zhaohui Li;Xiao Hu;Huailiang Liu

  • Affiliations:
  • Guangzhou University, China;Guangzhou University, China;Guangzhou University, China;Guangzhou University, China

  • Venue:
  • ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
  • Year:
  • 2007

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Abstract

In this paper, a multi-population particle swarm optimizer based on Lotka-Volterra competition equation is first proposed. The cooperative coevolution in the field of ecology is involved into original particle swarm optimizer, and populations size is adjusted adaptively based on multi-population Lotka-Volterra competition equation. Then, the algorithm is applied to blind multichannel estimation by optimizing an error function for the outputs of a multichannel system. The experiment results demonstrate that the proposed algorithm is superior to original particle swarm optimization algorithm, and is effective to blind multichannel estimation.