Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems

Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algorithms. HSA is a modern - nature algorithm that simulates the musicians’ natural process of musical improvisation to enhance their instrument’s note to find a state of pleasant (harmony) according to...

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Published inIndonesian Journal of Electrical Engineering and Computer Science Vol. 27; no. 1; p. 431
Main Authors Ahmed, Bilal, Hamdan, Hazlina, Muhammed, Abdullah, Husin, Nor Azura
Format Journal Article
LanguageEnglish
Published 01.07.2022
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ISSN2502-4752
2502-4760
2502-4760
DOI10.11591/ijeecs.v27.i1.pp431-441

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Summary:Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algorithms. HSA is a modern - nature algorithm that simulates the musicians’ natural process of musical improvisation to enhance their instrument’s note to find a state of pleasant (harmony) according to aesthetic standards. Lots of variants of HSA have been suggested to tackle combinatorial optimization problems. They range from hybridizing some components of other metaheuristic approaches (to improve the HSA) to taking some concepts of HSA and utilizing them to improve other metaheuristic methods. This stud y reviews research pertaining to parameter settings of HSA and its applications to efficiently solve hard combinatorial optimization problems.
ISSN:2502-4752
2502-4760
2502-4760
DOI:10.11591/ijeecs.v27.i1.pp431-441