Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China
The reasonable allocation of water resources using different optimization technologies has received extensive attention. However, not all optimization algorithms are suitable for solving this problem because of its complexity. In this study, we applied an ameliorative multi-objective gray wolf optim...
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MDPI AG
2021-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/14/1/63 |
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| author | Su Li Zhihong Yan Jinxia Sha Jing Gao Bingqing Han Bin Liu Dan Xu Yifan Chang Yuhang Han Zhiheng Xu Bolun Sun |
| author_facet | Su Li Zhihong Yan Jinxia Sha Jing Gao Bingqing Han Bin Liu Dan Xu Yifan Chang Yuhang Han Zhiheng Xu Bolun Sun |
| author_sort | Su Li |
| collection | DOAJ |
| description | The reasonable allocation of water resources using different optimization technologies has received extensive attention. However, not all optimization algorithms are suitable for solving this problem because of its complexity. In this study, we applied an ameliorative multi-objective gray wolf optimizer (AMOGWO) to the problem. For AMOGWO, which is based on the multi-objective gray wolf optimizer, we improved the distance control parameter calculation method, added crowding degree for the archive, and optimized the selection mechanism for leader wolves. Subsequently, AMOGWO was used to solve the multi-objective optimal allocation of water resources in Handan, China, for 2035, with the maximum economic benefit and minimum social water shortage used as objective functions. The optimal results obtained indicate a total water demand in Handan of 2740.43 × 10<sup>6</sup> m<sup>3</sup>, total water distribution of 2442.23 × 10<sup>6</sup> m<sup>3</sup>, and water shortage of 298.20 × 10<sup>6</sup> m<sup>3</sup>, which is consistent with the principles of water resource utilization in Handan. Furthermore, comparison results indicate that AMOGWO has substantially enhanced convergence rates and precision compared to the non-dominated sorting genetic algorithm II and the multi-objective particle swarm optimization algorithm, demonstrating relatively high reliability and applicability. This study thus provides a new method for solving the multi-objective optimal allocation of water resources. |
| first_indexed | 2024-03-10T03:12:08Z |
| format | Article |
| id | doaj.art-23dc8ebde09a4df0983ee748e35e9986 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T03:12:08Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-23dc8ebde09a4df0983ee748e35e99862023-11-23T12:32:17ZengMDPI AGWater2073-44412021-12-011416310.3390/w14010063Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, ChinaSu Li0Zhihong Yan1Jinxia Sha2Jing Gao3Bingqing Han4Bin Liu5Dan Xu6Yifan Chang7Yuhang Han8Zhiheng Xu9Bolun Sun10School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Earth Science and Engineering, Hebei University of Engineering, Handan 056021, ChinaWater Conservancy Management of Handan City, Handan 056021, ChinaRunze Water Co., Ltd. of Fengfeng Handan, Handan 056038, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaSchool of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056021, ChinaThe reasonable allocation of water resources using different optimization technologies has received extensive attention. However, not all optimization algorithms are suitable for solving this problem because of its complexity. In this study, we applied an ameliorative multi-objective gray wolf optimizer (AMOGWO) to the problem. For AMOGWO, which is based on the multi-objective gray wolf optimizer, we improved the distance control parameter calculation method, added crowding degree for the archive, and optimized the selection mechanism for leader wolves. Subsequently, AMOGWO was used to solve the multi-objective optimal allocation of water resources in Handan, China, for 2035, with the maximum economic benefit and minimum social water shortage used as objective functions. The optimal results obtained indicate a total water demand in Handan of 2740.43 × 10<sup>6</sup> m<sup>3</sup>, total water distribution of 2442.23 × 10<sup>6</sup> m<sup>3</sup>, and water shortage of 298.20 × 10<sup>6</sup> m<sup>3</sup>, which is consistent with the principles of water resource utilization in Handan. Furthermore, comparison results indicate that AMOGWO has substantially enhanced convergence rates and precision compared to the non-dominated sorting genetic algorithm II and the multi-objective particle swarm optimization algorithm, demonstrating relatively high reliability and applicability. This study thus provides a new method for solving the multi-objective optimal allocation of water resources.https://www.mdpi.com/2073-4441/14/1/63multi-objective optimizationwater resourcesoptimal allocationAMOGWOHandan |
| spellingShingle | Su Li Zhihong Yan Jinxia Sha Jing Gao Bingqing Han Bin Liu Dan Xu Yifan Chang Yuhang Han Zhiheng Xu Bolun Sun Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China Water multi-objective optimization water resources optimal allocation AMOGWO Handan |
| title | Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China |
| title_full | Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China |
| title_fullStr | Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China |
| title_full_unstemmed | Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China |
| title_short | Application of AMOGWO in Multi-Objective Optimal Allocation of Water Resources in Handan, China |
| title_sort | application of amogwo in multi objective optimal allocation of water resources in handan china |
| topic | multi-objective optimization water resources optimal allocation AMOGWO Handan |
| url | https://www.mdpi.com/2073-4441/14/1/63 |
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