A Method for the Mixed Discrete Non-Linear Problems by Particle Swarm Optimization

  • S. Kitayama
  • M. Arakawa
  • K. Yamazaki
Conference paper
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 199)

Abstract

An approach for the Mixed Discrete Non-Linear Problems (MDNLP) by Particle Swarm Optimization is proposed. The penalty function to handle the discrete design variables is employed, in which the discrete design variables are treated as the continuous design variables by penalizing at the intervals. By using the penalty function, it is possible to handle all design variables as the continuous design variables. Through typical benchmark problem, the validity of proposed approach for MDNLP is examined.

keywords

Global Optimization Particle Swarm Optimization Mixed Discrete Non-Linear Problems 

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Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • S. Kitayama
    • 1
  • M. Arakawa
    • 2
  • K. Yamazaki
    • 1
  1. 1.Kanazawa UniversityKanazawaJapan
  2. 2.Kagawa UniversityTakamatsu, KagawaJapan

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