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Parallel and Cooperative Particle Swarm Optimizer for Multimodal Problems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Although the original particle swarm optimizer (PSO) method and its related variant methods show some effectiveness for solving optimization problems, it may easily get trapped into local optimum especially when solving complex multimodal problems.
Aiming to solve this issue, this paper puts forward a novel method called parallel and cooperative particle swarm optimizer (PCPSO).
In case that the interacting of the elements in D-dimensional function vector X=[x1,x2,…,xd,…,xD] is independent, cooperative particle swarm optimizer (CPSO) is used.
Based on this, the PCPSO is presented to solve real problems.
Since the dimension cannot be split into several lower dimensional search spaces in real problems because of the interacting of the elements, PCPSO exploits the cooperation of two parallel CPSO algorithms by orthogonal experimental design (OED) learning.
Firstly, the CPSO algorithm is used to generate two locally optimal vectors separately; then the OED is used to learn the merits of these two vectors and creates a better combination of them to generate further search.
Experimental studies on a set of test functions show that PCPSO exhibits better robustness and converges much closer to the global optimum than several other peer algorithms.
American Psychological Association (APA)
Zhang, Geng& Li, Yangmin. 2015. Parallel and Cooperative Particle Swarm Optimizer for Multimodal Problems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074632
Modern Language Association (MLA)
Zhang, Geng& Li, Yangmin. Parallel and Cooperative Particle Swarm Optimizer for Multimodal Problems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074632
American Medical Association (AMA)
Zhang, Geng& Li, Yangmin. Parallel and Cooperative Particle Swarm Optimizer for Multimodal Problems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074632