An Improved Differential Evolution Algorithm Based on Adaptive Parameter
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-19
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
The differential evolution (DE) algorithm is a heuristic global optimization technique based on population which is easy to understand, simple to implement, reliable, and fast.
The evolutionary parameters directly influence the performance of differential evolution algorithm.
The adjustment of control parameters is a global behavior and has no general research theory to control the parameters in the evolution process at present.
In this paper, we propose an adaptive parameter adjustment method which can dynamically adjust control parameters according to the evolution stage.
The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and faster convergence speed.
American Psychological Association (APA)
Huang, Zhehuang& Chen, Yidong. 2013. An Improved Differential Evolution Algorithm Based on Adaptive Parameter. Journal of Control Science and Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-473497
Modern Language Association (MLA)
Huang, Zhehuang& Chen, Yidong. An Improved Differential Evolution Algorithm Based on Adaptive Parameter. Journal of Control Science and Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-473497
American Medical Association (AMA)
Huang, Zhehuang& Chen, Yidong. An Improved Differential Evolution Algorithm Based on Adaptive Parameter. Journal of Control Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-473497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473497