Title :
A dynamic neighbourhood particle swarm optimisation algorithm for constrained optimisation
Author :
Li, Lily D. ; Yu, Xinghuo ; Li, Xiaodong ; Guo, William
Author_Institution :
Sch. of Sch. of Inf. & Commun. Technol., CQ Univ., Rockhampton, QLD, Australia
Abstract :
This paper presents a dynamic neighbourhood Particle Swarm Optimisation (PSO) algorithm for constrained optimisation problems. The constraint dominance concept is adopted for constraint handling. The dynamic neighbourhood aims to enhance communication between particles from different groups in order to improve searching performance. Simulation to the benchmark functions demonstrates the proposed dynamic neighbourhood PSO outperforms the static neighbourhood PSO in finding consistent quality results.
Keywords :
particle swarm optimisation; constrained optimisation; constraint dominance concept; dynamic neighbourhood PSO; dynamic neighbourhood particle swarm optimisation; searching performance; static neighbourhood PSO; Educational institutions; Heuristic algorithms; Indexes; Optimization; Particle swarm optimization; Topology; Constrained Optimisation; Evolutionary Computation; PSO algorithm;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119795
