Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:B2L-B
Session:
Number:B2L-B4
Growing-Tree Particle Swarm Optimizer with Tabu Search Function
Toshimichi Saito, Eiji Miyagawa,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
This paper studies particle swarm optimizer having growing-tree structure and tabu search for multiple optima. If the personal best has not been changed then a new particle is added and the tree topology grows. If the global best has not been changed then a region including the global best is declared as a tabu area. After the declaration all the particles are hard to revisit the tabu area and they can search other optima. Performing basic numerical experiments, the algorithm efficiency is confirmed.