Hybrid or modified optimization algorithms for dam reservoir water operation: A review
Determination of optimum policy for scarce water resources plays an important role in the sustainable development of any region. Generally, optimal operation of reservoir is one of the challenging problems for water resources systems. In other words, optimal operation of reservoir plays an important...
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American Institute of Physics Inc.
2023
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| _version_ | 1833411811766960128 |
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| author | Nurhikmah F. Hossain M.S. Zawawi M.H. |
| author2 | 57204810651 |
| author_facet | 57204810651 Nurhikmah F. Hossain M.S. Zawawi M.H. |
| author_sort | Nurhikmah F. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Determination of optimum policy for scarce water resources plays an important role in the sustainable development of any region. Generally, optimal operation of reservoir is one of the challenging problems for water resources systems. In other words, optimal operation of reservoir plays an important role for water resources planning and management. The major goal of reservoir operation optimization problem is to decide how much water should be released and how much should be stored for future uses. In the last decades, the computational researchers have been increasingly interested to the natural sciences, and especially biology, as source of modeling paradigms. Many research areas are massively influenced by the behavior of various biological entities and phenomena. It gave birth to most of population-based Metaheuristics such as Evolutionary Algorithms (EAs), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) etc. � 2018 Author(s). |
| format | Conference Paper |
| id | my.uniten.dspace-23602 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | American Institute of Physics Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-236022023-05-29T14:50:26Z Hybrid or modified optimization algorithms for dam reservoir water operation: A review Nurhikmah F. Hossain M.S. Zawawi M.H. 57204810651 55579596900 39162217600 Determination of optimum policy for scarce water resources plays an important role in the sustainable development of any region. Generally, optimal operation of reservoir is one of the challenging problems for water resources systems. In other words, optimal operation of reservoir plays an important role for water resources planning and management. The major goal of reservoir operation optimization problem is to decide how much water should be released and how much should be stored for future uses. In the last decades, the computational researchers have been increasingly interested to the natural sciences, and especially biology, as source of modeling paradigms. Many research areas are massively influenced by the behavior of various biological entities and phenomena. It gave birth to most of population-based Metaheuristics such as Evolutionary Algorithms (EAs), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) etc. � 2018 Author(s). Final 2023-05-29T06:50:26Z 2023-05-29T06:50:26Z 2018 Conference Paper 10.1063/1.5066894 2-s2.0-85057231049 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057231049&doi=10.1063%2f1.5066894&partnerID=40&md5=4f852769896cc81d45763fa3cd9ff35c https://irepository.uniten.edu.my/handle/123456789/23602 2030 20253 American Institute of Physics Inc. Scopus |
| spellingShingle | Nurhikmah F. Hossain M.S. Zawawi M.H. Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title | Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title_full | Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title_fullStr | Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title_full_unstemmed | Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title_short | Hybrid or modified optimization algorithms for dam reservoir water operation: A review |
| title_sort | hybrid or modified optimization algorithms for dam reservoir water operation: a review |
| url_provider | http://dspace.uniten.edu.my/ |