2011Journal of Gansu Lianhe UniversityRequires access

An Improved Adaptive Harmony Search Algorithm

Gao Yue-lin

Open publisher page 1 citations

Abstract

Harmony Search(HS) is a heuristic optimization method.Based on the purpose of avoiding the disadvantage of improved harmony search(IHS) algorithm,a new adaptive harmony search algorithm is presented.Adaptive harmony memory consideration rate,pitch adjusting rate and band width are used to produce new solutions.In each iteration,several solutions are generated.It makes full use of information of harmony memory.Finally,the proposed algorithm is tested by five benchmark function and contrasted with HIS,AHSPSO.The test results show the favorable abilities of accuracy and escaping local minimums.

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What this paper is about

Harmony Search(HS) is a heuristic optimization method.Based on the purpose of avoiding the disadvantage of improved harmony search(IHS) algorithm,a new adaptive harmony search algorithm is presented.Adaptive harmony memory consideration rate,pitch adjusting rate and band width are used to produce new solutions.In each iteration,several solutions are generated.It makes full use of information of harmony memory.Finally,the proposed algorithm is tested by five benchmark function and contrasted with HIS,AHSPSO.The test results show the favorable abilities of accuracy and escaping local minimums.

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Available abstract

Harmony Search(HS) is a heuristic optimization method.Based on the purpose of avoiding the disadvantage of improved harmony search(IHS) algorithm,a new adaptive harmony search algorithm is presented.Adaptive harmony memory consideration rate,pitch adjusting rate and band width are used to produce new solutions.In each iteration,several solutions are generated.It makes full use of information of harmony memory.Finally,the proposed algorithm is tested by five benchmark function and contrasted with HIS,AHSPSO.The test results show the favorable abilities of accuracy and escaping local minimums.

Key concepts: Harmony search, Harmony (color), Benchmark (surveying), Computer science, Algorithm, Mathematical optimization, Heuristic, Mathematics

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