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基于经济流速的管径优化方法
引用本文:陈玲俐,叶志明,李杰. 基于经济流速的管径优化方法[J]. 上海大学学报(自然科学版), 2005, 11(2): 196-200
作者姓名:陈玲俐  叶志明  李杰
作者单位:上海大学,土木工程系,上海 200436;同济大学,土木工程学院,上海 200092
摘    要:针对已有供水管网管径优化方法的缺点,该文提出了一种基于经济流速的启发式管径优化算法.该算法在应用前,无需人为规定管网的流量分配方案.算法分析步骤明确,计算简单.为了评价所提出的启发式算法的计算效率和优化结果的合理性,文中将计算时间和分析结果同广义简约梯度法和遗传算法的结果进行了对比.结果表明,该文的启发式算法计算效率远高于上面两种方法,计算结果接近遗传算法得到的最优解.

关 键 词:管径优化  启发式优化算法  遗传算法  广义简约梯度法
文章编号:1007-2861(2005)02-0196-05
修稿时间:2004-04-29

Optimization of Pipe Diameter in Water Supply Networks Based on Economical Flow
CHEN Ling-li,YE Zhi-ming,LI Jie. Optimization of Pipe Diameter in Water Supply Networks Based on Economical Flow[J]. Journal of Shanghai University(Natural Science), 2005, 11(2): 196-200
Authors:CHEN Ling-li  YE Zhi-ming  LI Jie
Affiliation:CHEN Ling-li~1,YE Zhi-ming~1,LI Jie~2
Abstract:Based on optimal economical flow, a heuristic method for pipe diameter optimization is presented. It is unnecessary to define a flow distribution of the network before applying this method. In order to check the calculation efficiency and reasonability of the optimized results, the heuristic method is compared with the generalized reduced-gradient method (GRG2) and genetic algorithm (GA), showing that the heuristic method is more efficient than GRG2 and GA, and results of the heuristic method approach the optimal results (of GA.)
Keywords:pipe diameter optimization  heuristic optimization  genetic algorithm  generalized reduced-gradient method  
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