International Journal of Computational Intelligence Systems

Volume 14, Issue 1, 2021, Pages 1842 - 1855

Team Collaboration Particle Swarm Optimization and Its Application on Reliability Optimization

Authors
Bo Zheng1, *, ORCID, Xin Ma2, Xiaoqiang Zhang1, Huiying Gao1
1Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan, Sichuan, 618307, China
2College of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, Sichuan, 618307, China
*Corresponding author. Email: b_zheng1@126.com
Corresponding Author
Bo Zheng
Received 8 June 2020, Accepted 21 June 2021, Available Online 1 July 2021.
DOI
https://doi.org/10.2991/ijcis.d.210625.001How to use a DOI?
Keywords
Particle swarm optimization; Premature convergence; Optimization performance improvement; Reliability optimization
Abstract

Particle swarm optimization (PSO) tends to be premature convergence due to easily trapping into local suboptimal areas. In order to overcome the PSO's defects, the reasons causing the defects are analyzed and summarized as population diversity deficiency, insufficient information sharing, unbalance of exploitation and exploration, and single update strategy. On this basis, inspired by human team collaboration behavior, a team collaboration particle swarm optimization (TCPSO) is proposed. Diversified updates strategies, dynamic grouping strategy, selectivity vector, and decreasing and increasing inertia weight are designed in TCPSO to solve the defects' reasons and improve the optimization performance. Eight typical test functions have been used to evaluate and compare the performance of different PSO variants, and the results have been proven that the optimal results found by TCPSO are better compared with other PSO variants, which demonstrates the rationality and effectiveness of TCPSO. Finally, a real-world problem for reliability optimization are solved by five algorithms, and the results prove the convergence rate and stable optimization performance of TCPSO, TCPSO can provide better support for reliability optimization of complex system.

Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
14 - 1
Pages
1842 - 1855
Publication Date
2021/07/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.210625.001How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Bo Zheng
AU  - Xin Ma
AU  - Xiaoqiang Zhang
AU  - Huiying Gao
PY  - 2021
DA  - 2021/07/01
TI  - Team Collaboration Particle Swarm Optimization and Its Application on Reliability Optimization
JO  - International Journal of Computational Intelligence Systems
SP  - 1842
EP  - 1855
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210625.001
DO  - https://doi.org/10.2991/ijcis.d.210625.001
ID  - Zheng2021
ER  -