A differential evolutionary particle swarm optimization with controller

  • Authors:

  • Jianchao Zeng;Zhihua Cui;Lifang Wang

  • Affiliations:

  • Division of system simulation and computer application, Taiyuan University of Science and Technology, Shanxi, P.R. China;Division of system simulation and computer application, Taiyuan University of Science and Technology, Shanxi, P.R. China;Division of system simulation and computer application, Taiyuan University of Science and Technology, Shanxi, P.R. China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
  • Year:
  • 2005

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Abstract

To improve the computational efficiency,a new uniform model of particle swarm optimization (PSO) and corresponding algorithm, differential evolutionary PSO (DEPSO), are described, and the convergence is analyzed with transfer function. To enhance the diversity of swarm, PID controller is used to control dynamic evolutionary behavior of DEPSO. Simulation results have proved the algorithm's efficiency.