The variants of the harmony search algorithm: an overview

The harmony search (HS) algorithm is a relatively new population-based metaheuristic optimization algorithm. It imitates the music improvisation process where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. Since the emergence of this algorithm in 2001, it a...

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Bibliographic Details
Published in:The Artificial intelligence review 2011-06, Vol.36 (1), p.49-68
Main Authors: Alia, Osama Moh’d, Mandava, Rajeswari
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Decision making
Energy modeling
Genetic algorithms
Genetic engineering
Harmony (Music)
Improvisation
Musical performances
Musicians & conductors
Optimization algorithms
Optimization techniques
Population
Variables
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Summary:The harmony search (HS) algorithm is a relatively new population-based metaheuristic optimization algorithm. It imitates the music improvisation process where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. Since the emergence of this algorithm in 2001, it attracted many researchers from various fields especially those working on solving optimization problems. Consequently, this algorithm guided researchers to improve on its performance to be in line with the requirements of the applications being developed. These improvements primarily cover two aspects: (1) improvements in terms of parameters setting, and (2) improvements in terms of hybridizing HS components with other metaheuristic algorithms. This paper presents an overview of these aspects, with a goal of providing useful references to fundamental concepts accessible to the broad community of optimization practitioners.
ISSN:0269-2821
1573-7462
DOI:10.1007/s10462-010-9201-y