The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution. (17th March 2015)

• Record Type: Journal Article
• Authors: Maca, Petr; Pech, Pavel
• Other Names: Zong Fang Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2015(2015)
• Publication Date: 2015-03-17
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2015/790465
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : The presented paper deals with the comparison of selected random updating strategies of inertia weight in particle swarm optimisation. Six versions of particle swarm optimization were analysed on 28 benchmark functions, prepared for the Special Session on Real-Parameter Single Objective Optimisation at CEC2013. The random components of tested inertia weight were generated from Beta distribution with different values of shape parameters. The best analysed PSO version is the multiswarm PSO, which combines two strategies of updating the inertia weight. The first is driven by the temporally varying shape parameters, while the second is based on random control of shape parameters of Beta distribution.