A chaotic crow search algorithm for high-dimensional optimization problems
Joint Authors
Source
Basrah Journal for Engineering Sciences
Issue
Vol. 17, Issue 1 (30 Jun. 2017), pp.16-25, 10 p.
Publisher
University of Basrah College of Engineering
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Crow Search Algorithm is an innovative meta-heuristic optimization algorithm.
In this paper, chaotic maps are combined into Crow Search Algorithm to increase its global optimization.
Ten variant chaotic maps are used and the Tent map is found as the best choices for high dimensional problems.
The novel Chaotic Crow Search Algorithm is relied on the substitution of a random location of search space and the awareness parameter of crow with chaotic sequences.
The results show that the chaotic maps are able to enhance the performance of the Crow Search Algorithm.
Also the novel Chaotic Crow Search Algorithm outperforms the conventional Crow Search Algorithm, first version of Chaotic Crow Search Algorithm, Genetic Algorithm, and Particle Swarm Optimization Algorithm from the point view of speed convergence and the function dimensions.
Index Terms— Chaos; Crow Search Algorithm; Chaotic Crow Search Algorithm; Meta-heuristic algorithms.
American Psychological Association (APA)
Tahir, Dunya S.& Ali, Ramzi S.. 2017. A chaotic crow search algorithm for high-dimensional optimization problems. Basrah Journal for Engineering Sciences،Vol. 17, no. 1, pp.16-25.
https://search.emarefa.net/detail/BIM-795467
Modern Language Association (MLA)
Tahir, Dunya S.& Ali, Ramzi S.. A chaotic crow search algorithm for high-dimensional optimization problems. Basrah Journal for Engineering Sciences Vol. 17, no. 1 (2017), pp.16-25.
https://search.emarefa.net/detail/BIM-795467
American Medical Association (AMA)
Tahir, Dunya S.& Ali, Ramzi S.. A chaotic crow search algorithm for high-dimensional optimization problems. Basrah Journal for Engineering Sciences. 2017. Vol. 17, no. 1, pp.16-25.
https://search.emarefa.net/detail/BIM-795467
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 24-25
Record ID
BIM-795467