中文摘要：

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.

英文摘要：

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.