YUE Hong-yu,L Mou,LI Hong-wei,et al.Arrangement of Pressure Monitoring Points in Water Supply Network Based on Swarm Intelligence Optimization Algorithm[J].China Water & Wastewater,2020,36(21):66-70.
基于群体智能优化算法的供水管网压力监测点布置
- Title:
- Arrangement of Pressure Monitoring Points in Water Supply Network Based on Swarm Intelligence Optimization Algorithm
- Keywords:
- water supply network; pressure monitoring point; swarm intelligence optimization algorithm; combined optimization
- 摘要:
- 针对城市供水管网压力监测点的优化布置问题,以监测范围最大化为目标,结合节点间的水压相关性和水压敏感度构建监测点优化布置模型,将实际问题转化为一个单目标组合优化问题。以东南沿海某城镇供水主干管网为例,利用2种群体智能优化算法——蝙蝠算法(BA)和粒子群算法(PSO)对模型进行求解。将两种算法的运行结果进行了多方面对比,发现BA因其全局寻优能力强,计算代时较短,在监测点优化布置问题中展现了更为出色的搜索精度和效率。
- Abstract:
- Aiming at the optimal arrangement of pressure monitoring points in urban water supply network, the optimal arrangement model of pressure monitoring points was established by taking the maximization of monitoring range as the target and combining water pressure correlation and water pressure sensitivity between nodes, and the practical problem was transformed into a single-objective combinatorial optimization problem. Two swarm intelligence optimization algorithms—bat algorithm and particle swarm algorithm were applied in a water supply network of a town in southeastern coast to solve the model. The operational results of the two algorithms were compared in many aspects. Bat algorithm, which had strong global search ability and short computation time, had shown excellent search accuracy and efficiency in the optimal location of monitoring points.
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