Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing
Joint Authors
Lv, Xueying
Wang, Yitian
Deng, Junyi
Zhang, Guanyu
Zhang, Liu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-05
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In this study, an improved eliminate particle swarm optimization (IEPSO) is proposed on the basis of the last-eliminated principle to solve optimization problems in engineering design.
During optimization, the IEPSO enhances information communication among populations and maintains population diversity to overcome the limitations of classical optimization algorithms in solving multiparameter, strong coupling, and nonlinear engineering optimization problems.
These limitations include advanced convergence and the tendency to easily fall into local optimization.
The parameters involved in the imported “local-global information sharing” term are analyzed, and the principle of parameter selection for performance is determined.
The performances of the IEPSO and classical optimization algorithms are then tested by using multiple sets of classical functions to verify the global search performance of the IEPSO.
The simulation test results and those of the improved classical optimization algorithms are compared and analyzed to verify the advanced performance of the IEPSO algorithm.
American Psychological Association (APA)
Lv, Xueying& Wang, Yitian& Deng, Junyi& Zhang, Guanyu& Zhang, Liu. 2018. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1130756
Modern Language Association (MLA)
Lv, Xueying…[et al.]. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1130756
American Medical Association (AMA)
Lv, Xueying& Wang, Yitian& Deng, Junyi& Zhang, Guanyu& Zhang, Liu. Improved Particle Swarm Optimization Algorithm Based on Last-Eliminated Principle and Enhanced Information Sharing. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1130756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130756