Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization
Joint Authors
Li, Shu-xia
Song, Jiang-di
Wang, Jie-sheng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In order to improve convergence velocity and optimization accuracy of the cuckoo search (CS) algorithm for solving the function optimization problems, a new improved cuckoo search algorithm based on the repeat-cycle asymptotic self-learning and self-evolving disturbance (RC-SSCS) is proposed.
A disturbance operation is added into the algorithm by constructing a disturbance factor to make a more careful and thorough search near the bird’s nests location.
In order to select a reasonable repeat-cycled disturbance number, a further study on the choice of disturbance times is made.
Finally, six typical test functions are adopted to carry out simulation experiments, meanwhile, compare algorithms of this paper with two typical swarm intelligence algorithms particle swarm optimization (PSO) algorithm and artificial bee colony (ABC) algorithm.
The results show that the improved cuckoo search algorithm has better convergence velocity and optimization accuracy.
American Psychological Association (APA)
Wang, Jie-sheng& Li, Shu-xia& Song, Jiang-di. 2015. Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057690
Modern Language Association (MLA)
Wang, Jie-sheng…[et al.]. Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057690
American Medical Association (AMA)
Wang, Jie-sheng& Li, Shu-xia& Song, Jiang-di. Cuckoo Search Algorithm Based on Repeat-Cycle Asymptotic Self-Learning and Self-Evolving Disturbance for Function Optimization. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057690
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057690