Comprehensive review of the development of the harmony search algorithm and its applications

This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. HS is a well-known human-based meta-heuristic algorithm that mimics the process of creating a new harmony in music. This algorithm can be applied to different fields of research...

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Main Authors: Al-Omoush, A.A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Kamal Z., Zamli
Format: Article
Language:English
Published: IEEE 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/7/Comprehensive%20Review%20of%20the%20Development%20of%20the%20Harmony%20Search%20Algorithm%20and%20its%20Applications.pdf
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recordtype eprints
spelling ump-240142019-03-07T08:00:59Z http://umpir.ump.edu.my/id/eprint/24014/ Comprehensive review of the development of the harmony search algorithm and its applications Al-Omoush, A.A. Alsewari, Abdulrahman A. Alamri, Hammoudeh S. Kamal Z., Zamli QA76 Computer software This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. HS is a well-known human-based meta-heuristic algorithm that mimics the process of creating a new harmony in music. This algorithm can be applied to different fields of research, owing to its ability to balance between exploitation (i.e., searching around the known best) and exploration (i.e., roaming the entire search space). Thus, numerous studies have been conducted to utilize HS in real-world optimization problems, and many variants and hybrid algorithms of HS have been developed to cope with different problems. In this paper, HS and its variants are reviewed from various aspects. First, we describe the HS algorithm and present how its parameters affect algorithm performance. Second, we describe HS classifications based on the well-known HS variants and hybrid algorithms, along with their applications. Finally, a discussion conducted on the strengths and weaknesses of the HS algorithm and the possibilities for its improvement. Focusing on related work from diverse fields (such as optimization, engineering, computer science, biology, and medicine), this paper can foster interests on the application of HS for multidisciplinary audiences. IEEE 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24014/7/Comprehensive%20Review%20of%20the%20Development%20of%20the%20Harmony%20Search%20Algorithm%20and%20its%20Applications.pdf Al-Omoush, A.A. and Alsewari, Abdulrahman A. and Alamri, Hammoudeh S. and Kamal Z., Zamli (2019) Comprehensive review of the development of the harmony search algorithm and its applications. IEEE Access, 7. pp. 14233-14245. ISSN 2169-3536 https://doi.org/10.1109/ACCESS.2019.2893662 https://doi.org/10.1109/ACCESS.2019.2893662
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Al-Omoush, A.A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
Comprehensive review of the development of the harmony search algorithm and its applications
description This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. HS is a well-known human-based meta-heuristic algorithm that mimics the process of creating a new harmony in music. This algorithm can be applied to different fields of research, owing to its ability to balance between exploitation (i.e., searching around the known best) and exploration (i.e., roaming the entire search space). Thus, numerous studies have been conducted to utilize HS in real-world optimization problems, and many variants and hybrid algorithms of HS have been developed to cope with different problems. In this paper, HS and its variants are reviewed from various aspects. First, we describe the HS algorithm and present how its parameters affect algorithm performance. Second, we describe HS classifications based on the well-known HS variants and hybrid algorithms, along with their applications. Finally, a discussion conducted on the strengths and weaknesses of the HS algorithm and the possibilities for its improvement. Focusing on related work from diverse fields (such as optimization, engineering, computer science, biology, and medicine), this paper can foster interests on the application of HS for multidisciplinary audiences.
format Article
author Al-Omoush, A.A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
author_facet Al-Omoush, A.A.
Alsewari, Abdulrahman A.
Alamri, Hammoudeh S.
Kamal Z., Zamli
author_sort Al-Omoush, A.A.
title Comprehensive review of the development of the harmony search algorithm and its applications
title_short Comprehensive review of the development of the harmony search algorithm and its applications
title_full Comprehensive review of the development of the harmony search algorithm and its applications
title_fullStr Comprehensive review of the development of the harmony search algorithm and its applications
title_full_unstemmed Comprehensive review of the development of the harmony search algorithm and its applications
title_sort comprehensive review of the development of the harmony search algorithm and its applications
publisher IEEE
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/
http://umpir.ump.edu.my/id/eprint/24014/7/Comprehensive%20Review%20of%20the%20Development%20of%20the%20Harmony%20Search%20Algorithm%20and%20its%20Applications.pdf
first_indexed 2023-09-18T22:36:10Z
last_indexed 2023-09-18T22:36:10Z
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