摘要
针对管网水力模型校正中监测点的优化计算不容易得到最优解、运算时间较长等问题,采用蚁群算法进行求解。由于管网节点的灵敏度矩阵与监测点最优解之间存在一定的对应关系,且充分利用探索信息可以明显提高蚁群算法的优化计算性能,因此考虑将蚁群算法中的探索信息与灵敏度值进行对应。算例结果表明,与穷举法和遗传算法相比,在参数相同的条件下该法可有效减少优化计算的运行时间。
Aimed at the difficulty of obtaining the optimal solution and the problems of multiple solutions and instability existing in optimized calculation of monitoring points in correction of hydraulic model of water distribution system, ant colony algorithm was used to obtain an optimal solution. Analysis shows a corresponding relation between nodal sensitivity and optimal monitoring location. Adding research data can enhance the calculation speed of ant colony algorithms, and therefore, the research data is associated with the sensitivity value. A comparison between the new combined method and conventional methods shows that the combined method can save the calculating time effectively under the same parameters condition.
出处
《中国给水排水》
CAS
CSCD
北大核心
2007年第11期94-96,101,共4页
China Water & Wastewater
关键词
给水管网
监测点
灵敏度
蚁群算法
water distribution system
monitoring point
sensitivity
ant colony algorithm
