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基于SWMM和改进差分进化算法的雨水管网优化方法 被引量:10

Optimization of Rainwater Pipe Network Based on SWMM and Improved Algorithm of Differential Evolution
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摘要 在城市雨水管网地理信息系统环境下,提出了一种基于SWMM和改进的差分进化算法(DE)的雨水管网管径、埋深优化方法。该方法在差分进化算法中增加"管径、埋深组合生成算法",提高算法寻优效率和准确性,并基于SWMM设计"管网水力性能约束计算"综合评估多重约束条件下管网最优的改进方案。试验选取某一溢流现象较为严重的区域,针对不同重现期的降雨数据分别计算雨水管网管径、埋深改造方案,最后结合造价、变动管径数等指标,综合考虑试验区域的特点选出最为合理的改进方案,对试验区域的管网改造具有建设性的意义。 Based on the urban rainwater pipe network geographical information system, a new method for optimizing the diameter and depth of pipe network based on SWMM and improved algorithm of differential evolution was proposed. This method added "generating algorithm of depth and diameter com- bination" in algorithm of differential evolution to raise the effectiveness and accuracy of the algorithm, and the best solution for improving pipe network under multi-restrictions was designed based on SWMM. An experiment was carried out in one of the most serious overflow areas, and the diameter and depth of pipe network were calculated using rainfall data with different return periods. Through considering inde- xes such as price and the number of possibly changing pipes, and characteristics of experimental region, the most appropriate optimization scheme was determined. The proposed method can play a significant role in reforming of pipe network in experimental regions.
出处 《中国给水排水》 CAS CSCD 北大核心 2016年第17期115-118,124,共5页 China Water & Wastewater
关键词 管网优化 SWMM 差分进化算法 optimization of pipe network SWMM algorithm of differential evolution
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