An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount
Joint Authors
Wang, Dongxing
Ji, Linhong
Ban, Xiaojuan
Guan, Xinyu
Qian, Xu
Liu, Kang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
To improve the optimization quality, stability, and speed of convergence of wolf pack algorithm, an adaptive shrinking grid search chaotic wolf optimization algorithm using standard deviation updating amount (ASGS-CWOA) was proposed.
First of all, a strategy of adaptive shrinking grid search (ASGS) was designed for wolf pack algorithm to enhance its searching capability through which all wolves in the pack are allowed to compete as the leader wolf in order to improve the probability of finding the global optimization.
Furthermore, opposite-middle raid method (OMR) is used in the wolf pack algorithm to accelerate its convergence rate.
Finally, “Standard Deviation Updating Amount” (SDUA) is adopted for the process of population regeneration, aimed at enhancing biodiversity of the population.
The experimental results indicate that compared with traditional genetic algorithm (GA), particle swarm optimization (PSO), leading wolf pack algorithm (LWPS), and chaos wolf optimization algorithm (CWOA), ASGS-CWOA has a faster convergence speed, better global search accuracy, and high robustness under the same conditions.
American Psychological Association (APA)
Wang, Dongxing& Ban, Xiaojuan& Ji, Linhong& Guan, Xinyu& Liu, Kang& Qian, Xu. 2020. An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138830
Modern Language Association (MLA)
Wang, Dongxing…[et al.]. An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1138830
American Medical Association (AMA)
Wang, Dongxing& Ban, Xiaojuan& Ji, Linhong& Guan, Xinyu& Liu, Kang& Qian, Xu. An Adaptive Shrinking Grid Search Chaotic Wolf Optimization Algorithm Using Standard Deviation Updating Amount. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138830
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138830