Emotional particle swarm optimization

  • Authors:
  • Wei Wang;Zhiliang Wang;Xuejing Gu;Siyi Zheng

  • Affiliations:
  • School of Information Engineering, University of Science and Technology Beijing, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing, China;School of Information Engineering, University of Science and Technology Beijing, Beijing, China

  • Venue:
  • ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
  • Year:
  • 2009

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Abstract

It is known that there is only information sharing in most particle swarm optimization. But competition among particles which is a good feature for searching progress does not exist. For all these, based on the idea of multiagent with emotion, bring in competition controlled by emotion to enhance performance of PSO after describing similarity between particles swarm and multi-agent system. And from the point of emotional view, problem that agents whether should compete or not is stated qualitatively. Furthermore, velocity threshold is deduced. Utilizing these, the method proposed could improve both local and global searching ability of particle swarm optimization. In addition, simulation results show that the improvement is effective. Algorithm with it has good efficiency.