An Amended Harmony Search Algorithm for Unconstrained Optimization Problems

Ruo Ping Li; Hai Bin Ouyang; Li Qun Gao

doi:10.4028/www.scientific.net/AMM.190-191.911

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191An Amended Harmony Search Algorithm for...

An Amended Harmony Search Algorithm for Unconstrained Optimization Problems

Abstract:

Harmony search (HS) algorithm is a new mate heuristic algorithm, which is conceptualized using the musical improvisation process of searching for a perfect state of harmony. Its own potential and shortage, one of its main disadvantages is that it easily trapped into local optima and converges very slowly. Based on the conception of swarm intelligence, this paper presents an amended harmony search (AHS) algorithm. AHS introduces a novel position updating strategy for generating new solution vectors, which enhances solution accuracy and convergence rate of algorithm. Several standard benchmark optimization functions are to be test and compare the performance of the AHS. The results revealed the superiority of the proposed method to the HS and its three improved algorithms (IHS, GHS and NGHS).

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Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

911-914

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.911

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Online since:

July 2012

Authors:

Ruo Ping Li, Hai Bin Ouyang, Li Qun Gao

Keywords:

Amended Harmony Search Algorithm, Harmony Search Algorithm, Local Optima, Position Updating, Swarm Intelligence

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