A New Variant Harmony Search Algorithm for Unconstrained Numerical Optimization Problems

Hong Gang Xia; Qing Zhou Wang

doi:10.4028/www.scientific.net/AMM.365-366.174

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 365-366A New Variant Harmony Search Algorithm for...

A New Variant Harmony Search Algorithm for Unconstrained Numerical Optimization Problems

Abstract:

Harmony search (HS) algorithm is a good meta-heuristic intelligent optimization method and it does depend on imitating the music improvisation process to generate a perfect state of harmony. However, intelligent optimization methods is easily trapped into local optimal, HS is no exception. In order to modify the optimization performance of HS, a new variant of harmony search algorithm is proposed in this paper. The variant integrate the position updating of the particle swarm optimization algorithm with pitch adjustment operation, and dynamically adjust the key parameter pitch adjusting rate (PAR) and bandwidth (BW). Several standard benchmarks are to be tested. The numerical results demonstrated the superiority of the proposed method to the HS and recently developed variants (IHS, and GHS).

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Periodical:

Applied Mechanics and Materials (Volumes 365-366)

Pages:

174-177

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.365-366.174

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Online since:

August 2013

Authors:

Hong Gang Xia, Qing Zhou Wang

Keywords:

Adjust, Harmony Search Algorithm, Particle Swarm Optimization Algorithm, Position Updating

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