Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review
The purpose of this systematic literature review (SLR) article is to discuss the findings of the state-of-art metaheuristic nature-inspired algorithm (MHNIA) in reservoir optimization operation. The rationale of this approach is to elucidate the optimal way as decision making that implemented MHNIA...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/34637/ http://umpir.ump.edu.my/id/eprint/34637/1/Metaheuristic%20nature-inspired%20algorithms%20for%20reservoir%20optimization%20operation.pdf |
| _version_ | 1848824560017735680 |
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| author | Nor Shuhada, Ibrahim Nafrizuan, Mat Yahya Saiful Bahri, Mohamed |
| author_facet | Nor Shuhada, Ibrahim Nafrizuan, Mat Yahya Saiful Bahri, Mohamed |
| author_sort | Nor Shuhada, Ibrahim |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The purpose of this systematic literature review (SLR) article is to discuss the findings of the state-of-art metaheuristic nature-inspired algorithm (MHNIA) in reservoir optimization operation. The rationale of this approach is to elucidate the optimal way as decision making that implemented MHNIA for several complex problems in reservoir optimization operation. Commonly, the metaheuristic optimization algorithm has always been used in hydrology field, especially in reservoir optimization. Hence, this presented study reviewed a considerable amount from the previous studies of commonly nature-based optimization algorithms applied in reservoir operations. Hence, preferred reporting items for systematic review and meta-analyses (PRISMA) has been used as guidance. The source was utilized from two primary journal databases: Scopus and web of science. According to the proposed search string, the findings managed to express into nine main themes which are optimize in water release, optimize reservoir operation problems, optimize hydropower operation, optimize condensate fluids in reservoir storage, optimize water pumped storage, optimize water quality control, optimize system performance operation, optimize water demand and optimize reservoir control as flood preventing. Overall, 24 articles that passed the minimum quality were retrieved using systematic searching strategies. |
| first_indexed | 2025-11-15T03:14:58Z |
| format | Article |
| id | ump-34637 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:14:58Z |
| publishDate | 2022 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-346372022-07-12T06:56:31Z http://umpir.ump.edu.my/id/eprint/34637/ Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review Nor Shuhada, Ibrahim Nafrizuan, Mat Yahya Saiful Bahri, Mohamed T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The purpose of this systematic literature review (SLR) article is to discuss the findings of the state-of-art metaheuristic nature-inspired algorithm (MHNIA) in reservoir optimization operation. The rationale of this approach is to elucidate the optimal way as decision making that implemented MHNIA for several complex problems in reservoir optimization operation. Commonly, the metaheuristic optimization algorithm has always been used in hydrology field, especially in reservoir optimization. Hence, this presented study reviewed a considerable amount from the previous studies of commonly nature-based optimization algorithms applied in reservoir operations. Hence, preferred reporting items for systematic review and meta-analyses (PRISMA) has been used as guidance. The source was utilized from two primary journal databases: Scopus and web of science. According to the proposed search string, the findings managed to express into nine main themes which are optimize in water release, optimize reservoir operation problems, optimize hydropower operation, optimize condensate fluids in reservoir storage, optimize water pumped storage, optimize water quality control, optimize system performance operation, optimize water demand and optimize reservoir control as flood preventing. Overall, 24 articles that passed the minimum quality were retrieved using systematic searching strategies. Institute of Advanced Engineering and Science 2022-05 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/34637/1/Metaheuristic%20nature-inspired%20algorithms%20for%20reservoir%20optimization%20operation.pdf Nor Shuhada, Ibrahim and Nafrizuan, Mat Yahya and Saiful Bahri, Mohamed (2022) Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review. Indonesian Journal of Electrical Engineering and Computer Science, 26 (2). pp. 1050-1059. ISSN 2502-4752. (Published) https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059 https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Nor Shuhada, Ibrahim Nafrizuan, Mat Yahya Saiful Bahri, Mohamed Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title | Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title_full | Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title_fullStr | Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title_full_unstemmed | Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title_short | Metaheuristic nature-inspired algorithms for reservoir optimization operation: A systematic literature review |
| title_sort | metaheuristic nature-inspired algorithms for reservoir optimization operation: a systematic literature review |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/34637/ http://umpir.ump.edu.my/id/eprint/34637/ http://umpir.ump.edu.my/id/eprint/34637/ http://umpir.ump.edu.my/id/eprint/34637/1/Metaheuristic%20nature-inspired%20algorithms%20for%20reservoir%20optimization%20operation.pdf |