A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources
Water resource management is a complex engineering problem, due to the stochastic nature of inflow, various demands and environmental flow downstream. With the increase in water consumption for domestic use and irrigation, it becomes more challenging. Many more difficulties, such as non-convex, nonl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2022-04-01
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| Series: | Water Supply |
| Subjects: | |
| Online Access: | http://ws.iwaponline.com/content/22/4/3702 |
| _version_ | 1811308989644800000 |
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| author | Vijendra Kumar S. M. Yadav |
| author_facet | Vijendra Kumar S. M. Yadav |
| author_sort | Vijendra Kumar |
| collection | DOAJ |
| description | Water resource management is a complex engineering problem, due to the stochastic nature of inflow, various demands and environmental flow downstream. With the increase in water consumption for domestic use and irrigation, it becomes more challenging. Many more difficulties, such as non-convex, nonlinear, multi-objective, and discontinuous functions, exist in real life. From the past two decades, heuristic and metaheuristic optimization techniques have played a significant role in managing and providing better performance solutions. The popularity of heuristic and metaheuristic optimization techniques has increased among researchers due to their numerous benefits and possibilities. Researchers are attempting to develop more accurate and efficient models by incorporating novel methods and hybridizing existing ones. This paper's main contribution is to show the state-of-the-art of heuristic and metaheuristic optimization techniques in water resource management. The research provides a comprehensive overview of the various techniques within the context of a thorough evaluation and discussion. As a result, for water resource management problems, this study introduces the most promising evolutionary and swarm intelligence techniques. Hybridization, modifications, and algorithm variants are reported to be the most successful for improving optimization techniques. This survey can be used to aid hydrologists and scientists in deciding the proper optimization techniques. HIGHLIGHTS
This paper reviews the different evolutionary algorithms and their applications.;
This paper reviews the different swarm intelligence algorithms and their applications.;
It identifies the importance and demerits of different heuristic and meta-heuristic algorithms.;
It highlights some of the observations on the challenges and needs.;
It highlights the state-of-the-art of water resources management and planning.; |
| first_indexed | 2024-04-13T09:34:13Z |
| format | Article |
| id | doaj.art-3f22ee15bc054ce8a7e21a6ceb745aa9 |
| institution | Directory Open Access Journal |
| issn | 1606-9749 1607-0798 |
| language | English |
| last_indexed | 2024-04-13T09:34:13Z |
| publishDate | 2022-04-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Water Supply |
| spelling | doaj.art-3f22ee15bc054ce8a7e21a6ceb745aa92022-12-22T02:52:09ZengIWA PublishingWater Supply1606-97491607-07982022-04-012243702372810.2166/ws.2022.010010A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resourcesVijendra Kumar0S. M. Yadav1 Civil Engineering Department, G H Raisoni College of Engineering and Management, Pune, Maharashtra, India Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India Water resource management is a complex engineering problem, due to the stochastic nature of inflow, various demands and environmental flow downstream. With the increase in water consumption for domestic use and irrigation, it becomes more challenging. Many more difficulties, such as non-convex, nonlinear, multi-objective, and discontinuous functions, exist in real life. From the past two decades, heuristic and metaheuristic optimization techniques have played a significant role in managing and providing better performance solutions. The popularity of heuristic and metaheuristic optimization techniques has increased among researchers due to their numerous benefits and possibilities. Researchers are attempting to develop more accurate and efficient models by incorporating novel methods and hybridizing existing ones. This paper's main contribution is to show the state-of-the-art of heuristic and metaheuristic optimization techniques in water resource management. The research provides a comprehensive overview of the various techniques within the context of a thorough evaluation and discussion. As a result, for water resource management problems, this study introduces the most promising evolutionary and swarm intelligence techniques. Hybridization, modifications, and algorithm variants are reported to be the most successful for improving optimization techniques. This survey can be used to aid hydrologists and scientists in deciding the proper optimization techniques. HIGHLIGHTS This paper reviews the different evolutionary algorithms and their applications.; This paper reviews the different swarm intelligence algorithms and their applications.; It identifies the importance and demerits of different heuristic and meta-heuristic algorithms.; It highlights some of the observations on the challenges and needs.; It highlights the state-of-the-art of water resources management and planning.;http://ws.iwaponline.com/content/22/4/3702evolutionary algorithmoptimizationreservoir operationswarm intelligencewater management |
| spellingShingle | Vijendra Kumar S. M. Yadav A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources Water Supply evolutionary algorithm optimization reservoir operation swarm intelligence water management |
| title | A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| title_full | A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| title_fullStr | A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| title_full_unstemmed | A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| title_short | A state-of-the-Art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| title_sort | state of the art review of heuristic and metaheuristic optimization techniques for the management of water resources |
| topic | evolutionary algorithm optimization reservoir operation swarm intelligence water management |
| url | http://ws.iwaponline.com/content/22/4/3702 |
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