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An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight
Joint Authors
Chen, Shouwen
Xu, Zhuoming
Tang, Yan
Liu, Shun
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Particle swarm optimization algorithm (PSO) is a global stochastic tool, which has ability to search the global optima.
However, PSO algorithm is easily trapped into local optima with low accuracy in convergence.
In this paper, in order to overcome the shortcoming of PSO algorithm, an improved particle swarm optimization algorithm (IPSO), based on two forms of exponential inertia weight and two types of centroids, is proposed.
By means of comparing the optimization ability of IPSO algorithm with BPSO, EPSO, CPSO, and ACL-PSO algorithms, experimental results show that the proposed IPSO algorithm is more efficient; it also outperforms other four baseline PSO algorithms in accuracy.
American Psychological Association (APA)
Chen, Shouwen& Xu, Zhuoming& Tang, Yan& Liu, Shun. 2014. An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1046580
Modern Language Association (MLA)
Chen, Shouwen…[et al.]. An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1046580
American Medical Association (AMA)
Chen, Shouwen& Xu, Zhuoming& Tang, Yan& Liu, Shun. An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1046580
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046580