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.

随着城市人口的增加，水资源的消耗也在增加。安全有效地向城市供水已成为亟待解决的问题。本研究的目的是通过使用阀门控制大幅减少配水网络 （WDN） 中的污染物数量，确保水基础设施不受废水不利影响的影响。此外，该文提出一种改进的并行二进制塘鹅算法（IPBGOA），并与该方法相结合，以高效解决WDN污染的优化问题。在仿真实验中，将所提方法与合成基准网络上的塘鹅优化算法 （GOA）、粒子群优化 （PSO）、差分进化 （DE）、灰狼优化 （GWO） 和遗传算法 （GA） 进行了比较。研究的证据表明，本文提出的算法明显比比较方法更有效、更可靠。