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Optimization of valve switch control for contamination detection in water distribution network

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Publicado en:NPJ Clean Water vol. 7, no. 1 (2024), p. 113
Autor principal: Pan, Jeng-Shyang
Otros Autores: Shu, Hao, Yang, Qingyong, Huang, Yu-Chung, Chu, Shu-Chuan
Publicado:
Nature Publishing Group
Materias:
Water resources
Particle swarm optimization
Water engineering
Water distribution
Evolutionary computation
Genetic algorithms
Contaminants
Algorithms
Urban populations
Water consumption
Water pollution
Contamination
Water supply systems
Control valves
Pollution control
Computer science
Water supply
Valves
Infrastructure
Sustainable development
Network management systems
Consumption
Public health
Linear programming
Engineering
Optimization algorithms
Information science
Environmental
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:2059-7037
DOI:10.1038/s41545-024-00407-5
Fuente:Publicly Available Content Database