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Novel global harmony search algorithm for unconstrained problems
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DOI：10.1016/j.neucom.2010.07.010.png)
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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). (C) 2010 Elsevier B.V. All rights reserved.
Keyword:
Novel global harmony search algorithm
Position updating
Genetic mutation
Convergence
Stability
Harmony search algorithm
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