基于粒子群的城市供水配置模型优化算法  

Optimization Algorithm of Urban Water Supply Allocation Model Based on Particle Swarm Optimization

作　　者：张永祥[1,2] 王慧峰[1,2] 王昊[1,2] 唐颖[1,2] 

机构地区：[1]北京工业大学建筑工程学院,北京100124 [2]北京工业大学水质科学与水环境恢复工程北京市重点实验室,北京100124

出　　处：《北京工业大学学报》2016年第3期467-472,共6页Journal of Beijing University of Technology

基　　金：国家科技支撑计划资助项目(2011BAC12B00)

摘　　要：为了解决城市供水水量分配合理性欠缺问题,提出基于粒子群的供水配置模型优化算法.该算法以地表水、地下水、自来水、中水4种水源类型作为供水源,以生活用水、工业用水、农业用水和生态用水4个行业作为用水行业,并考虑供水源的开发成本,建立供水配置模型.运用粒子群优化算法对模型进行优化求解,得到最佳的水量配置方案.通过实例验证该算法的可行性,为今后的供水水量分配调度工作提供参考和依据.To solve the problem of the defective rationalization in urban water supply distribution, a water allocation model optimization arithmetic based on particles swarm optimization ( PSO) was proposed. The arithmetic took surface water, ground water, tap water and reclaimed water as water supply, and contained four water-using, e. g. life, industry, agriculture and environment. A model of considering the cost of water exploitation was built. The water allocation model was constructed PSO and the optimal allocation scheme was proposed. Through the case study, the feasibility of the proposed method was proved. The arithmetic provides reference and support for water resource allocations in the future.

关 键 词：水资源 水量配置模型 粒子群优化算法 

分 类 号：TU991.31[建筑科学—市政工程]