Letters: Novel global harmony search algorithm for unconstrained problems

Authors:
Dexuan Zou;Liqun Gao;Jianhua Wu;Steven Li
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, PR China;School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, PR China;School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, PR China;Division of Business University of South Australia GPO Box 2471, Adelaide, SA 5001, Australia
Venue:
Neurocomputing
Year:
2010

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Abstract

In this paper, we use a recently proposed algorithm-novel global harmony search (NGHS) algorithm to solve unconstrained problems. The NGHS algorithm includes two important operations: position updating and genetic mutation with a low probability. The former can enhance the convergence of the NGHS, and the latter can effectively prevent the NGHS from being trapped into the local optimum. Based on a large number of experiments, the NGHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its two improved algorithms (IHS and SGHS).