Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:B2L-F
Session:
Number:B2L-F-7
On a Rotationally Invariant of PSO
Yosuke Hariya, Takuya Shindo, Kenya Jin'no,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
Particle swarm optimization (PSO) is a stochastic population-based algorithm that is designed for real-parameter optimization problems. PSO is a simple and powerful algorithm. However, the performance of PSO is degraded in the case of non-separable problems. In this article, we discuss the dynamics of the PSO and clarify the cause of that issue.