基于经济流速先验信息的启发式管网优化设计  

Optimal Design of Heuristic Pipe Network Based on Prior Information of Economic Flow Rate

作　　者：丁琨[1] 张甲[1] 张明[2] 金菊良[3] 张勇[1] 

机构地区：[1]安徽建筑大学环境与能源工程学院,安徽合肥230601 [2]安徽工程大学建筑工程学院,安徽芜湖241000 [3]合肥工业大学土木与水利工程学院,安徽合肥230009

出　　处：《东华大学学报（自然科学版）》2015年第3期387-391,共5页Journal of Donghua University(Natural Science)

基　　金：国家自然科学基金资助项目(21171004);安徽省教育厅自然科学基金资助项目(KJ2011z059);安徽省年度攻关资助项目(11070403050);安徽省教育厅教研资助项目(2013YX17)

摘　　要：针对传统遗传算法在管网设计中存在计算结果误差较大、寻优效率较低等问题,采用经济流速约束、流量约束和罚函数等改进措施,提出了基于经济流速先验信息的启发式优化方法.通过一个实例验证了该方法可以提高遗传算法的收敛速度和寻优效率,计算结果较准确,且管网设计合理,可降低工程投资.In order to solve the problems such as large computation error and low optimizing efficiency of conventional genetic algorithm in water supply networks design, a series of improvements are adopted, including economic velocity restraint, volume restraint and penalty function. And on this basis, the heuristic optimizing method is proposed based on prior information of economic flow. It is proved that the method can improve the convergence rate and optimizing efficiency of genetic algorithm and gain considerable accurate commutated result. Furthermore, pipeline networks design based on this method is more reasonable and low in engineering investment.

关 键 词：给水管网 优化设计 经济流速 经济管径 罚函数 遗传算法 

分 类 号：TU991.33[建筑科学—市政工程]