Optimization of valve switch control for contamination detection in water distribution network
में बचाया:
| में प्रकाशित: | NPJ Clean Water vol. 7, no. 1 (2024), p. 113 |
|---|---|
| मुख्य लेखक: | |
| अन्य लेखक: | , , , |
| प्रकाशित: |
Nature Publishing Group
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| विषय: | |
| ऑनलाइन पहुंच: | Citation/Abstract Full Text - PDF |
| टैग: |
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MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3127422944 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2059-7037 | ||
| 024 | 7 | |a 10.1038/s41545-024-00407-5 |2 doi | |
| 035 | |a 3127422944 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 100 | 1 | |a Pan, Jeng-Shyang |u Nanjing University of Information Science and Technology, School of Artificial Intelligence, Nanjing, China (GRID:grid.260478.f) (ISNI:0000 0000 9249 2313); Chaoyang University of Technology, Department of Information Management, Taichung, Taiwan (GRID:grid.411218.f) (ISNI:0000 0004 0638 5829) | |
| 245 | 1 | |a Optimization of valve switch control for contamination detection in water distribution network | |
| 260 | |b Nature Publishing Group |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a As the urban population increases, the consumption of water resources is also increasing. Safely and effectively supplying water to cities has become an issue that urgently needs to be addressed. The purpose of this research is to substantially reduce the number of contaminants in water distribution networks (WDNs) by using valve control, ensuring that the water infrastructure is not impacted by the adverse effects of wastewater. In addition, an improved parallel binary gannet algorithm (IPBGOA) is proposed and combined with this approach to solve the optimization problem of WDN contamination efficiently. The proposed method is compared with the gannet optimization algorithm (GOA), particle swarm optimization (PSO), differential evolution (DE), the grey wolf optimization (GWO), and the genetic algorithm (GA) on synthetic benchmark networks in simulation experiments. The evidence from the study indicates that the algorithm proposed in this paper is significantly more efficient and reliable than the comparison methods. | |
| 653 | |a Water resources | ||
| 653 | |a Particle swarm optimization | ||
| 653 | |a Water engineering | ||
| 653 | |a Water distribution | ||
| 653 | |a Evolutionary computation | ||
| 653 | |a Genetic algorithms | ||
| 653 | |a Contaminants | ||
| 653 | |a Algorithms | ||
| 653 | |a Urban populations | ||
| 653 | |a Water consumption | ||
| 653 | |a Water pollution | ||
| 653 | |a Contamination | ||
| 653 | |a Water supply systems | ||
| 653 | |a Control valves | ||
| 653 | |a Pollution control | ||
| 653 | |a Computer science | ||
| 653 | |a Water supply | ||
| 653 | |a Valves | ||
| 653 | |a Infrastructure | ||
| 653 | |a Sustainable development | ||
| 653 | |a Network management systems | ||
| 653 | |a Consumption | ||
| 653 | |a Public health | ||
| 653 | |a Linear programming | ||
| 653 | |a Engineering | ||
| 653 | |a Optimization algorithms | ||
| 653 | |a Information science | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Shu, Hao |u Nanjing University of Information Science and Technology, School of Computer Science, Nanjing, China (GRID:grid.260478.f) (ISNI:0000 0000 9249 2313) | |
| 700 | 1 | |a Yang, Qingyong |u Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China (GRID:grid.412508.a) (ISNI:0000 0004 1799 3811) | |
| 700 | 1 | |a Huang, Yu-Chung |u LTD, Taiwan Smarter Water Co., Taiwan, China (GRID:grid.412508.a) | |
| 700 | 1 | |a Chu, Shu-Chuan |u Nanjing University of Information Science and Technology, School of Artificial Intelligence, Nanjing, China (GRID:grid.260478.f) (ISNI:0000 0000 9249 2313); Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China (GRID:grid.412508.a) (ISNI:0000 0004 1799 3811) | |
| 773 | 0 | |t NPJ Clean Water |g vol. 7, no. 1 (2024), p. 113 | |
| 786 | 0 | |d ProQuest |t Publicly Available Content Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3127422944/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3127422944/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |