Citation
Abstract
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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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Computer Science and Information Technology |
DOI Number: | https://doi.org/10.11591/ijeecs.v27.i1.pp431-441 |
Publisher: | Institute of Advanced Engineering and Science |
Keywords: | Combinatorial optimization harmony search algorithm; Metaheuristic; Modern nature inspired algorithm; Population-based metaheuristic |
Depositing User: | Mr. Mohamad Syahrul Nizam Md Ishak |
Date Deposited: | 30 Jun 2024 23:50 |
Last Modified: | 30 Jun 2024 23:50 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11591/ijeecs.v27.i1.pp431-441 |
URI: | http://psasir.upm.edu.my/id/eprint/103089 |
Statistic Details: | View Download Statistic |
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