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Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review

Decision making; Heuristic algorithms; Optimization; Stochastic systems; Water supply; Complex problems; Decision variables; Meta-heuristics algorithms; Multiple constraint; Nonlinear problems; Optimisations; Variable constraints; Water deficits; Water supply operations; Waters resources; Reservoirs...

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Main Authors: Almubaidin M.A.A., Ahmed A.N., Sidek L.B.M., Elshafie A.
Other Authors: 57476845900
Format: Review
Published: Springer Science and Business Media B.V. 2023
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id my.uniten.dspace-26741
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spelling my.uniten.dspace-267412023-05-29T17:36:27Z Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review Almubaidin M.A.A. Ahmed A.N. Sidek L.B.M. Elshafie A. 57476845900 57214837520 35070506500 16068189400 Decision making; Heuristic algorithms; Optimization; Stochastic systems; Water supply; Complex problems; Decision variables; Meta-heuristics algorithms; Multiple constraint; Nonlinear problems; Optimisations; Variable constraints; Water deficits; Water supply operations; Waters resources; Reservoirs (water) 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. � 2022, The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE). Final 2023-05-29T09:36:27Z 2023-05-29T09:36:27Z 2022 Review 10.1007/s11831-022-09716-9 2-s2.0-85125741266 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125741266&doi=10.1007%2fs11831-022-09716-9&partnerID=40&md5=d96ce14fe4f42e523bbef9949f1b8e18 https://irepository.uniten.edu.my/handle/123456789/26741 29 6 3677 3711 Springer Science and Business Media B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Decision making; Heuristic algorithms; Optimization; Stochastic systems; Water supply; Complex problems; Decision variables; Meta-heuristics algorithms; Multiple constraint; Nonlinear problems; Optimisations; Variable constraints; Water deficits; Water supply operations; Waters resources; Reservoirs (water)
author2 57476845900
author_facet 57476845900
Almubaidin M.A.A.
Ahmed A.N.
Sidek L.B.M.
Elshafie A.
format Review
author Almubaidin M.A.A.
Ahmed A.N.
Sidek L.B.M.
Elshafie A.
spellingShingle Almubaidin M.A.A.
Ahmed A.N.
Sidek L.B.M.
Elshafie A.
Using Metaheuristics Algorithms (MHAs) to Optimize Water Supply Operation in Reservoirs: a Review
author_sort Almubaidin M.A.A.
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 Science and Business Media B.V.
publishDate 2023
_version_ 1806425659208105984
score 13.222552

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