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An Improved Harmony Search Algorithm with Application

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Abstract:

In classical harmony search algorithm, only one harmony vector is obtained in each of iteration, which affects its search ability. We propose an improve harmony search algorithm in this paper. In our approach, the number of harmony vectors obtained in each of iteration is equivalent to the population size, and all newly generated harmony vectors are put into the harmony memory array. Then, all harmony vectors are sorted by descending order of the fitness, and the first half individuals are served as the next generation of populations. Experimental results show that our approach is obviously superior to the classical one under the same iteration steps and the same running time, which reveals that our approach can effectively generate the excellent individuals approximating the global optimal solution and enhance the optimization ability of classical harmony search algorithm.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1367-1372

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1367

Citation:

Cite this paper

Online since:

November 2014

Authors:

Jian Ping Li, Ai Ping Lu, Hao Chang Wang, Xin Li, Pan Chi Li

Keywords:

Algorithm Design, Harmony Search, Intelligent Computation, Intelligent Optimization

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