Title :
A Clustering Based Niching Particle Swarm Optimization for Locating Multiple Optimal Solutions
Author :
Zhou, Minghui ; Wang, Junnian
Author_Institution :
Dept. of Inf. & Electr. Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China
Abstract :
A clustering based niching particle swarm optimization is constructed in this paper by using a clustering method named ldquodensity basedrdquo clustering. l-best PSO and a clustering algorithm is processed synchronously in this new algorithm. When the number of particles in a cluster reach the set least particle number of a subswarm, a niching is formed based on this cluster. This algorithm can conquer the disadvantage of NichePSO by forming niching with different size and shape.
Keywords :
particle swarm optimisation; pattern clustering; NichePSO; density based clustering; l-best PSO; niching particle swarm optimization; Automation; Clustering algorithms; Clustering methods; Genetic algorithms; Laboratories; Neural networks; Optimization methods; Particle swarm optimization; Particle tracking; Shape; clustering; multi-species strategy; niching; particle swarm optimization;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.59
