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Cuckoo Search Algorithm with Chaotic Maps
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Cuckoo search algorithm is a novel nature-inspired optimization technique based on the obligate brood parasitic behavior of some cuckoo species.
It iteratively employs Lévy flights random walk with a scaling factor and biased/selective random walk with a fraction probability.
Unfortunately, these two parameters are used in constant value schema, resulting in a problem sensitive to solution quality and convergence speed.
In this paper, we proposed a variable value schema cuckoo search algorithm with chaotic maps, called CCS.
In CCS, chaotic maps are utilized to, respectively, define the scaling factor and the fraction probability to enhance the solution quality and convergence speed.
Extensive experiments with different chaotic maps demonstrate the improvement in efficiency and effectiveness.
American Psychological Association (APA)
Wang, Lijin& Zhong, Yiwen. 2015. Cuckoo Search Algorithm with Chaotic Maps. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074557
Modern Language Association (MLA)
Wang, Lijin& Zhong, Yiwen. Cuckoo Search Algorithm with Chaotic Maps. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074557
American Medical Association (AMA)
Wang, Lijin& Zhong, Yiwen. Cuckoo Search Algorithm with Chaotic Maps. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074557