Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator
Joint Authors
Yong, Longquan
Feng, Quanxi
Liu, San-Yang
Zhang, Jianke
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-01
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Harmony search (HS) method is an emerging metaheuristic optimization algorithm.
In this paper, an improved harmony search method based on differential mutation operator (IHSDE) is proposed to deal with the optimization problems.
Since the population diversity plays an important role in the behavior of evolution algorithm, the aim of this paper is to calculate the expected population mean and variance of IHSDE from theoretical viewpoint.
Numerical results, compared with the HSDE, NGHS, show that the IHSDE method has good convergence property over a test-suite of well-known benchmark functions.
American Psychological Association (APA)
Yong, Longquan& Liu, San-Yang& Zhang, Jianke& Feng, Quanxi. 2012. Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1028728
Modern Language Association (MLA)
Yong, Longquan…[et al.]. Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator. Journal of Applied Mathematics No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-1028728
American Medical Association (AMA)
Yong, Longquan& Liu, San-Yang& Zhang, Jianke& Feng, Quanxi. Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-1028728
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1028728