Journal of Applied Mathematics

Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator

Longquan Yong, Sanyang Liu, Jianke Zhang, and Quanxi Feng

Full-text: Open access

Abstract

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.

Article information

Source
J. Appl. Math., Volume 2012 (2012), Article ID 147950, 20 pages.

Dates
First available in Project Euclid: 2 January 2013

Permanent link to this document
https://projecteuclid.org/euclid.jam/1357153509

Digital Object Identifier
doi:10.1155/2012/147950

Mathematical Reviews number (MathSciNet)
MR2979451

Zentralblatt MATH identifier
1251.90398

Citation

Yong, Longquan; Liu, Sanyang; Zhang, Jianke; Feng, Quanxi. Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator. J. Appl. Math. 2012 (2012), Article ID 147950, 20 pages. doi:10.1155/2012/147950. https://projecteuclid.org/euclid.jam/1357153509


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