摘要
针对遗传算法存在的问题,提出一种利用微粒群算法(PSO)优化污水管网的模型,并阐述了应用微粒群算法进行污水管网优化设计的原理、特点。在南京市某地区的污水系统设计中采用了该算法,取得了良好的社会效益和经济效益。
n view of the existing problems of the genetic algorithms, a model of optimized sewage network by using particle swarm optimization （PSO） was proposed. The principles and characteristics of the application of PSO in the optimization of urban sewage network were described. After this algorithm was used in the design of sewage system in a region of Nanjing, the good social and economic benefits were obtained.
出处
《中国给水排水》
CAS
CSCD
北大核心
2006年第24期48-50,共3页
China Water & Wastewater
关键词
污水管网
优化设计
微粒群算法
sewage network
optimization design
particle swarm optimization
