Title
PSO-based multiple optima search systems with switched topology
Abstract
This paper discusses a particle swarm optimization (PSO) with switched topology and its application to the multi-solution problems. First, we introduce a deterministic PSO characterized by normalized deterministic parameters and a canonical form system equation. This system is convenient to grasp effects of parameters on the stability. Second, we investigate effects of the average distance of several the swarm topologies on the search capability. Especially, we introduce the switched topology where any information is not transmitted from the edge if the switch is off. Third, we consider an application to exploring multiple periodic points in simple dynamical systems. Performing numerical experiments for typical examples, the algorithm performance is investigated.
Year
DOI
Venue
2012
10.1109/CEC.2012.6252973
IEEE Congress on Evolutionary Computation
Keywords
DocType
ISBN
discrete systems,particle swarm optimisation,search problems,time-varying systems,topology,PSO-based multiple optima search systems,average distance effects,canonical form system equation,deterministic PSO,discrete dynamical systems,multisolution problems,normalized deterministic parameters,particle swarm optimization,search capability,stability,swarm topologies,switched topology
Conference
978-1-4673-1508-1
Citations 
PageRank 
References 
5
0.77
8
Authors
4
Name
Order
Citations
PageRank
Ryosuke Sano181.21
Takuya Shindo2334.95
Kenya Jin'No34512.55
Toshimichi Saito438274.54