Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
Papers
Stability Analysis of the Particle Swarm Optimization Algorithm
Yuji WakasaKanya TanakaTakuya Akashi
Author information
JOURNALS FREE ACCESS

2010 Volume 23 Issue 1 Pages 9-15

Details
Abstract

Stability of the particle swarm optimization algorithm is analyzed without any simplifying assumptions made in the previous works. To evaluate the convergence speed of the algorithm, the decay rate is introduced, and a method for finding the largest lower bound of the decay rate is presented. The proposed method is based on linear matrix inequality techniques, and therefore is carried out efficiently by using convex optimization tools. Numerical examples are given to show that the analysis method is reasonable and effective to select the parameters in the algorithm.

Information related to the author
© 2010 The Institute of Systems, Control and Information Engineers
Previous article Next article
feedback
Top