Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique

Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using t...
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Autor*in:	V. Lai [verfasserIn] Y. F. Huang [verfasserIn] C. H. Koo [verfasserIn] Ali Najah Ahmed [verfasserIn] Ahmed El-Shafie [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd)

Übergeordnetes Werk:	In: Engineering Applications of Computational Fluid Mechanics - Taylor & Francis Group, 2015, 15(2021), 1, Seite 1682-1702
Übergeordnetes Werk:	volume:15 ; year:2021 ; number:1 ; pages:1682-1702

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/19942060.2021.1982777

Katalog-ID:	DOAJ019473877

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520			\|a Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores.
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allfields	10.1080/19942060.2021.1982777 doi (DE-627)DOAJ019473877 (DE-599)DOAJ2d325e66a41247e2ad0e88a701e10a02 DE-627 ger DE-627 rakwb eng TA1-2040 V. Lai verfasserin aut Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd) Engineering (General). Civil engineering (General) Y. F. Huang verfasserin aut C. H. Koo verfasserin aut Ali Najah Ahmed verfasserin aut Ahmed El-Shafie verfasserin aut In Engineering Applications of Computational Fluid Mechanics Taylor & Francis Group, 2015 15(2021), 1, Seite 1682-1702 (DE-627)589639544 (DE-600)2474593-5 1997003X nnns volume:15 year:2021 number:1 pages:1682-1702 https://doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02 kostenfrei http://dx.doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/toc/1994-2060 Journal toc kostenfrei https://doaj.org/toc/1997-003X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2021 1 1682-1702
spelling	10.1080/19942060.2021.1982777 doi (DE-627)DOAJ019473877 (DE-599)DOAJ2d325e66a41247e2ad0e88a701e10a02 DE-627 ger DE-627 rakwb eng TA1-2040 V. Lai verfasserin aut Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd) Engineering (General). Civil engineering (General) Y. F. Huang verfasserin aut C. H. Koo verfasserin aut Ali Najah Ahmed verfasserin aut Ahmed El-Shafie verfasserin aut In Engineering Applications of Computational Fluid Mechanics Taylor & Francis Group, 2015 15(2021), 1, Seite 1682-1702 (DE-627)589639544 (DE-600)2474593-5 1997003X nnns volume:15 year:2021 number:1 pages:1682-1702 https://doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02 kostenfrei http://dx.doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/toc/1994-2060 Journal toc kostenfrei https://doaj.org/toc/1997-003X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2021 1 1682-1702
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allfieldsGer	10.1080/19942060.2021.1982777 doi (DE-627)DOAJ019473877 (DE-599)DOAJ2d325e66a41247e2ad0e88a701e10a02 DE-627 ger DE-627 rakwb eng TA1-2040 V. Lai verfasserin aut Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd) Engineering (General). Civil engineering (General) Y. F. Huang verfasserin aut C. H. Koo verfasserin aut Ali Najah Ahmed verfasserin aut Ahmed El-Shafie verfasserin aut In Engineering Applications of Computational Fluid Mechanics Taylor & Francis Group, 2015 15(2021), 1, Seite 1682-1702 (DE-627)589639544 (DE-600)2474593-5 1997003X nnns volume:15 year:2021 number:1 pages:1682-1702 https://doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02 kostenfrei http://dx.doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/toc/1994-2060 Journal toc kostenfrei https://doaj.org/toc/1997-003X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2021 1 1682-1702
allfieldsSound	10.1080/19942060.2021.1982777 doi (DE-627)DOAJ019473877 (DE-599)DOAJ2d325e66a41247e2ad0e88a701e10a02 DE-627 ger DE-627 rakwb eng TA1-2040 V. Lai verfasserin aut Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd) Engineering (General). Civil engineering (General) Y. F. Huang verfasserin aut C. H. Koo verfasserin aut Ali Najah Ahmed verfasserin aut Ahmed El-Shafie verfasserin aut In Engineering Applications of Computational Fluid Mechanics Taylor & Francis Group, 2015 15(2021), 1, Seite 1682-1702 (DE-627)589639544 (DE-600)2474593-5 1997003X nnns volume:15 year:2021 number:1 pages:1682-1702 https://doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02 kostenfrei http://dx.doi.org/10.1080/19942060.2021.1982777 kostenfrei https://doaj.org/toc/1994-2060 Journal toc kostenfrei https://doaj.org/toc/1997-003X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2021 1 1682-1702
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author	V. Lai
spellingShingle	V. Lai misc TA1-2040 misc metaheuristics misc whale optimization algorithm misc lévy flight and distribution misc reservoir operation optimization misc klang gate dam (kgd) misc Engineering (General). Civil engineering (General) Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
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topic_title	TA1-2040 Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique metaheuristics whale optimization algorithm lévy flight and distribution reservoir operation optimization klang gate dam (kgd)
topic	misc TA1-2040 misc metaheuristics misc whale optimization algorithm misc lévy flight and distribution misc reservoir operation optimization misc klang gate dam (kgd) misc Engineering (General). Civil engineering (General)
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title	Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
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title_sort	optimization of reservoir operation at klang gate dam utilizing a whale optimization algorithm and a lévy flight and distribution enhancement technique
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title_auth	Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
abstract	Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores.
abstractGer	Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores.
abstract_unstemmed	Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Lévy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores.
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title_short	Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
url	https://doi.org/10.1080/19942060.2021.1982777 https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02 http://dx.doi.org/10.1080/19942060.2021.1982777 https://doaj.org/toc/1994-2060 https://doaj.org/toc/1997-003X
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Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique

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