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Metaheuristic research: a comprehensive survey

Because of successful implementations and high intensity of research, metaheuristic research has been extensively reported in literature, which covers algorithms, applications, comparisons, and analysis. Though, it has been evidenced that little has been done on insightful analysis of metaheuristic...

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Main Authors:	Hussain, Kashif, Mohd Salleh, Mohd Najib, Shi, Cheng, Yuhui, Shi
Format:	Article
Language:	English
Published:	Springer Nature 2018
Subjects:	QA Mathematics QA76 Computer software T Technology (General)
Online Access:	http://eprints.uthm.edu.my/4839/1/AJ%202018%20%28122%29.pdf http://eprints.uthm.edu.my/4839/ https://doi.org/10.1007/s10462-017-9605-z
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id	my.uthm.eprints.4839
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spelling	my.uthm.eprints.48392021-12-21T07:16:05Z http://eprints.uthm.edu.my/4839/ Metaheuristic research: a comprehensive survey Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Yuhui, Shi QA Mathematics QA76 Computer software T Technology (General) Because of successful implementations and high intensity of research, metaheuristic research has been extensively reported in literature, which covers algorithms, applications, comparisons, and analysis. Though, it has been evidenced that little has been done on insightful analysis of metaheuristic performance issues, and it is still a “black box” why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analysis, which have been performed on specific algorithms, are mostly qualitative via performance validation metrics like mean error, standard deviation, and co-relations have been used. Moreover, the performance tests are often performed on specific benchmark functions - few studies are those which involve data from real-life scientific or engineering optimization problems. In order to draw a comprehensive picture of metaheuristic research, this paper performs a survey of metaheuristic research in literature which consists of 1222 publications from year 1983 to 2016 (thirty three years). Based on the collected evidence, this paper addresses four dimensions of metaheuristic research: introduction of new algorithms, modifications and hybrids, comparisons and analysis, and future directions. The main objective is to highlight potential open questions and critical issues raised in literature. This will guide future researchers to conduct more meaningful research that can serve for the good of this area of research. Springer Nature 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4839/1/AJ%202018%20%28122%29.pdf Hussain, Kashif and Mohd Salleh, Mohd Najib and Shi, Cheng and Yuhui, Shi (2018) Metaheuristic research: a comprehensive survey. Artificial Intelligence Review, 52. pp. 2191-2233. ISSN 0269-2821 https://doi.org/10.1007/s10462-017-9605-z
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	QA Mathematics QA76 Computer software T Technology (General)
spellingShingle	QA Mathematics QA76 Computer software T Technology (General) Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Yuhui, Shi Metaheuristic research: a comprehensive survey
description	Because of successful implementations and high intensity of research, metaheuristic research has been extensively reported in literature, which covers algorithms, applications, comparisons, and analysis. Though, it has been evidenced that little has been done on insightful analysis of metaheuristic performance issues, and it is still a “black box” why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analysis, which have been performed on specific algorithms, are mostly qualitative via performance validation metrics like mean error, standard deviation, and co-relations have been used. Moreover, the performance tests are often performed on specific benchmark functions - few studies are those which involve data from real-life scientific or engineering optimization problems. In order to draw a comprehensive picture of metaheuristic research, this paper performs a survey of metaheuristic research in literature which consists of 1222 publications from year 1983 to 2016 (thirty three years). Based on the collected evidence, this paper addresses four dimensions of metaheuristic research: introduction of new algorithms, modifications and hybrids, comparisons and analysis, and future directions. The main objective is to highlight potential open questions and critical issues raised in literature. This will guide future researchers to conduct more meaningful research that can serve for the good of this area of research.
format	Article
author	Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Yuhui, Shi
author_facet	Hussain, Kashif Mohd Salleh, Mohd Najib Shi, Cheng Yuhui, Shi
author_sort	Hussain, Kashif
title	Metaheuristic research: a comprehensive survey
title_short	Metaheuristic research: a comprehensive survey
title_full	Metaheuristic research: a comprehensive survey
title_fullStr	Metaheuristic research: a comprehensive survey
title_full_unstemmed	Metaheuristic research: a comprehensive survey
title_sort	metaheuristic research: a comprehensive survey
publisher	Springer Nature
publishDate	2018
url	http://eprints.uthm.edu.my/4839/1/AJ%202018%20%28122%29.pdf http://eprints.uthm.edu.my/4839/ https://doi.org/10.1007/s10462-017-9605-z
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score	13.211869

Metaheuristic research: a comprehensive survey

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