Chapter

Evolutionary Programming VII

Volume 1447 of the series Lecture Notes in Computer Science pp 591-600

Date:

Parameter selection in particle swarm optimization

  • Yuhui ShiAffiliated withDepartment of Electrical Engineering, Indiana University Purdue University Indianapolis
  • , Russell C. EberhartAffiliated withDepartment of Electrical Engineering, Indiana University Purdue University Indianapolis

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Abstract

This paper first analyzes the impact that inertia weight and maximum velocity have on the performance of the particle swarm optimizer, and then provides guidelines for selecting these two parameters. Analysis of experiments demonstrates the validity of these guidelines.