Staff View: Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review

Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review

The optimization of the operation of reservoirs is one of the complex problems in terms of non-linear problems, large numbers of decision variables, and multiple constraints that are difficult to simulate and find solutions to. Researchers have tested several metaheuristics algorithms (MHAs) in the...

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Main Authors:	Almubaidin, Mohammad Abdullah Abid, Ahmed, Ali Najah, Sidek, Lariyah Bte Mohd, Elshafie, Ahmed
Format:	Article
Published:	Springer 2022
Subjects:	QA Mathematics QA75 Electronic computers. Computer science TP Chemical technology
Online Access:	http://eprints.um.edu.my/40993/
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spelling	my.um.eprints.409932023-08-29T03:43:47Z http://eprints.um.edu.my/40993/ Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review Almubaidin, Mohammad Abdullah Abid Ahmed, Ali Najah Sidek, Lariyah Bte Mohd Elshafie, Ahmed QA Mathematics QA75 Electronic computers. Computer science TP Chemical technology The optimization of the operation of reservoirs is one of the complex problems in terms of non-linear problems, large numbers of decision variables, and multiple constraints that are difficult to simulate and find solutions to. Researchers have tested several metaheuristics algorithms (MHAs) in the field of water resources and use them to optimize the operation of reservoirs for multiple purposes, the most important of which is to reduce the water deficit in reservoirs using these algorithms and their adoption by decision-makers. The methods of optimization of the operation of the reservoirs vary according to their objectives, the type of reservoir, or the used algorithm. The paper presents the latest studies that dealt with the use of MHAs to optimize the operation related to water supply for the reservoirs by minimizing the losses between release and the water demand from the reservoirs or increase the utilization of the water released from the dams. In addition to studying the basis of the work of these algorithms and their advantages and disadvantages when applied to optimizing operation in some reservoirs. And the effectiveness of developing algorithms to increase their efficiency in solving optimizing problems, either by modifying algorithms or integrating multiple algorithms (hybrid algorithms). The results showed the clear development and high effectiveness in the use of MHAs with different methods based on nature and stochastic in solving problems related to the optimizing operation in various reservoirs by reducing the water deficit in them and evaluating the good performance of these algorithms through different performance indicators. So, we recommend using algorithms that differ in the way they work and categorize them in future research, whether they are new algorithms or old algorithms developed to determine the appropriate algorithms for the nature of these reservoirs, in addition to including different types of reservoirs, studying them, and applying algorithms to solve water problems in them. Springer 2022-10 Article PeerReviewed Almubaidin, Mohammad Abdullah Abid and Ahmed, Ali Najah and Sidek, Lariyah Bte Mohd and Elshafie, Ahmed (2022) Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review. Archives Of Computational Methods In Engineering, 29 (6). pp. 3677-3711. ISSN 1134-3060, DOI https://doi.org/10.1007/s11831-022-09716-9 <https://doi.org/10.1007/s11831-022-09716-9>. 10.1007/s11831-022-09716-9
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	QA Mathematics QA75 Electronic computers. Computer science TP Chemical technology
spellingShingle	QA Mathematics QA75 Electronic computers. Computer science TP Chemical technology Almubaidin, Mohammad Abdullah Abid Ahmed, Ali Najah Sidek, Lariyah Bte Mohd Elshafie, Ahmed Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
description	The optimization of the operation of reservoirs is one of the complex problems in terms of non-linear problems, large numbers of decision variables, and multiple constraints that are difficult to simulate and find solutions to. Researchers have tested several metaheuristics algorithms (MHAs) in the field of water resources and use them to optimize the operation of reservoirs for multiple purposes, the most important of which is to reduce the water deficit in reservoirs using these algorithms and their adoption by decision-makers. The methods of optimization of the operation of the reservoirs vary according to their objectives, the type of reservoir, or the used algorithm. The paper presents the latest studies that dealt with the use of MHAs to optimize the operation related to water supply for the reservoirs by minimizing the losses between release and the water demand from the reservoirs or increase the utilization of the water released from the dams. In addition to studying the basis of the work of these algorithms and their advantages and disadvantages when applied to optimizing operation in some reservoirs. And the effectiveness of developing algorithms to increase their efficiency in solving optimizing problems, either by modifying algorithms or integrating multiple algorithms (hybrid algorithms). The results showed the clear development and high effectiveness in the use of MHAs with different methods based on nature and stochastic in solving problems related to the optimizing operation in various reservoirs by reducing the water deficit in them and evaluating the good performance of these algorithms through different performance indicators. So, we recommend using algorithms that differ in the way they work and categorize them in future research, whether they are new algorithms or old algorithms developed to determine the appropriate algorithms for the nature of these reservoirs, in addition to including different types of reservoirs, studying them, and applying algorithms to solve water problems in them.
format	Article
author	Almubaidin, Mohammad Abdullah Abid Ahmed, Ali Najah Sidek, Lariyah Bte Mohd Elshafie, Ahmed
author_facet	Almubaidin, Mohammad Abdullah Abid Ahmed, Ali Najah Sidek, Lariyah Bte Mohd Elshafie, Ahmed
author_sort	Almubaidin, Mohammad Abdullah Abid
title	Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
title_short	Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
title_full	Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
title_fullStr	Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
title_full_unstemmed	Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review
title_sort	using metaheuristics algorithms (mhas) to optimize water supply operation in reservoirs: a review
publisher	Springer
publishDate	2022
url	http://eprints.um.edu.my/40993/
_version_	1776247427786866688
score	13.222552

Using Metaheuristics Algorithms (MHAs) to optimize water supply operation in reservoirs: A review

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