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- Title
Theoretical and Empirical Analyses of an Improved Harmony Search Algorithm Based on Differential Mutation Operator.
- Authors
Longquan Yong; Sanyang Liu; Jianke Zhang; Quanxi Feng
- 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.
- Subjects
SEARCH algorithms; DIFFERENTIAL operators; EMPIRICAL research; METAHEURISTIC algorithms; ARITHMETIC mean; ANALYSIS of variance; NUMERICAL analysis
- Publication
Journal of Applied Mathematics, 2012, p1
- ISSN
1110-757X
- Publication type
Article
- DOI
10.1155/2012/147950