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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Main Authors: Ahmed, Bilal, Hamdan, Hazlina, Muhammed, Abdullah, Husin, Nor Azura
Format: Article
Published: Institute of Advanced Engineering and Science 2022
Online Access:http://psasir.upm.edu.my/id/eprint/103089/
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author Ahmed, Bilal
Hamdan, Hazlina
Muhammed, Abdullah
Husin, Nor Azura
author_facet Ahmed, Bilal
Hamdan, Hazlina
Muhammed, Abdullah
Husin, Nor Azura
author_sort Ahmed, Bilal
building UPM Institutional Repository
collection Online Access
description 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.
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institution Universiti Putra Malaysia
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publisher Institute of Advanced Engineering and Science
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spelling upm-1030892024-06-30T23:50:43Z http://psasir.upm.edu.my/id/eprint/103089/ Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems Ahmed, Bilal Hamdan, Hazlina Muhammed, Abdullah Husin, Nor Azura 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. Institute of Advanced Engineering and Science 2022-07 Article PeerReviewed Ahmed, Bilal and Hamdan, Hazlina and Muhammed, Abdullah and Husin, Nor Azura (2022) Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems. Institute of Advanced Engineering and Science IAES, 27 (1). pp. 431-441. ISSN 2502-4752; ESSN: 2502-4760 https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27189 10.11591/ijeecs.v27.i1.pp431-441
spellingShingle Ahmed, Bilal
Hamdan, Hazlina
Muhammed, Abdullah
Husin, Nor Azura
Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title_full Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title_fullStr Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title_full_unstemmed Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title_short Review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
title_sort review on the parameter settings in harmony search algorithm applied to combinatorial optimization problems
url http://psasir.upm.edu.my/id/eprint/103089/
http://psasir.upm.edu.my/id/eprint/103089/
http://psasir.upm.edu.my/id/eprint/103089/