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A New Particle Swarm Optimization Algorithm and Its Numerical Analysis

  • Yuelin Gao
  • Fanfan Lei
  • Miaomiao Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

The speed equation of particle swarm optimization is improved by using a convex combination of the current best position of a particle and the current best position which the whole particle swarm as well as the current position of the particle, so as to enhance global search capability of basic particle swarm optimization. Thus a new particle swarm optimization algorithm is proposed. Numerical experiments show that its computing time is short and its global search capability is powerful as well as its computing accuracy is high in compared with the basic PSO.

Keywords

particle swarm optimization velocity equation numerical analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yuelin Gao
    • 1
  • Fanfan Lei
    • 1
  • Miaomiao Wang
    • 1
  1. 1.Institute of Information & System ScienceNorth Ethnic UniversityYinchuan

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