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An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-01
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Lightning attachment procedure optimization (LAPO) is a new global optimization algorithm inspired by the attachment procedure of lightning in nature.
However, similar to other metaheuristic algorithms, LAPO also has its own disadvantages.
To obtain better global searching ability, an enhanced version of LAPO called ELAPO has been proposed in this paper.
A quasi-opposition-based learning strategy is incorporated to improve both exploration and exploitation abilities by considering an estimate and its opposite simultaneously.
Moreover, a dimensional search enhancement strategy is proposed to intensify the exploitation ability of the algorithm.
32 benchmark functions including unimodal, multimodal, and CEC 2014 functions are utilized to test the effectiveness of the proposed algorithm.
Numerical results indicate that ELAPO can provide better or competitive performance compared with the basic LAPO and other five state-of-the-art optimization algorithms.
American Psychological Association (APA)
Zheng, Tongyi& Luo, Weili. 2019. An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1129341
Modern Language Association (MLA)
Zheng, Tongyi& Luo, Weili. An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-24.
https://search.emarefa.net/detail/BIM-1129341
American Medical Association (AMA)
Zheng, Tongyi& Luo, Weili. An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1129341
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129341