An Enhanced Differential Evolution with Elite Chaotic Local Search
Joint Authors
Huang, Haixia
Deng, Changshou
Yue, Xuezhi
Wu, Zhijian
Guo, Zhaolu
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Differential evolution (DE) is a simple yet efficient evolutionary algorithm for real-world engineering problems.
However, its search ability should be further enhanced to obtain better solutions when DE is applied to solve complex optimization problems.
This paper presents an enhanced differential evolution with elite chaotic local search (DEECL).
In DEECL, it utilizes a chaotic search strategy based on the heuristic information from the elite individuals to promote the exploitation power.
Moreover, DEECL employs a simple and effective parameter adaptation mechanism to enhance the robustness.
Experiments are conducted on a set of classical test functions.
The experimental results show that DEECL is very competitive on the majority of the test functions.
American Psychological Association (APA)
Guo, Zhaolu& Huang, Haixia& Deng, Changshou& Yue, Xuezhi& Wu, Zhijian. 2015. An Enhanced Differential Evolution with Elite Chaotic Local Search. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057721
Modern Language Association (MLA)
Guo, Zhaolu…[et al.]. An Enhanced Differential Evolution with Elite Chaotic Local Search. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057721
American Medical Association (AMA)
Guo, Zhaolu& Huang, Haixia& Deng, Changshou& Yue, Xuezhi& Wu, Zhijian. An Enhanced Differential Evolution with Elite Chaotic Local Search. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057721
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057721