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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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Main Authors: Nor Shuhada, Ibrahim, Nafrizuan, Mat Yahya, Saiful Bahri, Mohamed
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/34637/1/Metaheuristic%20nature-inspired%20algorithms%20for%20reservoir%20optimization%20operation.pdf
http://umpir.ump.edu.my/id/eprint/34637/
https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059
https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059
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spelling my.ump.umpir.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 https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059 https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
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
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.
format Article
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
title 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_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_sort metaheuristic nature-inspired algorithms for reservoir optimization operation: a systematic literature review
publisher Institute of Advanced Engineering and Science
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/34637/1/Metaheuristic%20nature-inspired%20algorithms%20for%20reservoir%20optimization%20operation.pdf
http://umpir.ump.edu.my/id/eprint/34637/
https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059
https://doi.org/10.11591/ijeecs.v26.i2.pp1050-1059
_version_ 1738510521670303744
score 13.211869

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