An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism
Joint Authors
Wang, Wan Liang
Li, Weikun
Wang, Yu Le
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Abstract EN
Balancing convergence and diversity has become a key point especially in many-objective optimization where the large numbers of objectives pose many challenges to the evolutionary algorithms.
In this paper, an opposition-based evolutionary algorithm with the adaptive clustering mechanism is proposed for solving the complex optimization problem.
In particular, opposition-based learning is integrated in the proposed algorithm to initialize the solution, and the nondominated sorting scheme with a new adaptive clustering mechanism is adopted in the environmental selection phase to ensure both convergence and diversity.
The proposed method is compared with other nine evolutionary algorithms on a number of test problems with up to fifteen objectives, which verify the best performance of the proposed algorithm.
Also, the algorithm is applied to a variety of multiobjective engineering optimization problems.
The experimental results have shown the competitiveness and effectiveness of our proposed algorithm in solving challenging real-world problems.
American Psychological Association (APA)
Wang, Wan Liang& Li, Weikun& Wang, Yu Le. 2019. An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-27.
https://search.emarefa.net/detail/BIM-1129484
Modern Language Association (MLA)
Wang, Wan Liang…[et al.]. An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-27.
https://search.emarefa.net/detail/BIM-1129484
American Medical Association (AMA)
Wang, Wan Liang& Li, Weikun& Wang, Yu Le. An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-27.
https://search.emarefa.net/detail/BIM-1129484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129484