The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Máca, Petr& Pech, Pavel. 2015. The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074707
Modern Language Association (MLA)
Máca, Petr& Pech, Pavel. The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074707
American Medical Association (AMA)
Máca, Petr& Pech, Pavel. The Inertia Weight Updating Strategies in Particle Swarm Optimisation Based on the Beta Distribution. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074707
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074707
