摘要
在城市供水系统中,管网的铺设费用占很大比重。如何最大限度降低建设成本而又保证供水的可靠性,是供水管网设计的重点和难点。基于供水管网的固有特性,结合蚁群、粒子群算法的优点,将蚁群粒子群混合算法应用到供水管网设计的多目标优化中。将蚁群中的信息素、启发因子、信息素挥发度参数映射到粒子群算法中粒子的位置坐标,通过粒子迭代寻找最优位置,并将蚁群算法通过特定信息素更新方式并限制迭代次数来进行优化,再将粒子最优位置反馈到优化后的蚁群算法中,寻找最优解。通过此算法,优化了供水管网中管径的选择,在保证供水管网可靠性的前提下,尽量缩减建设费用,为决策者提供更加经济实用的决策参考。
In water supply system in cities,the laying of pipe network accounts for a large proportion of the cost. It is an important and difficult part in the design of water distribution system to lower the cost and ensure the reliability of water supply at the same time. Based on the advantages of ant colony algorithm and particle swarm algorithm,this thesis applies them into the design of optimization of water distribution system with the aim to seek for the best solution. In this way,it optimizes the options of the diameter of water pipe. In the preposition of ensuring the reliability of water supply system,it can reduce the cost of construction.
出处
《山东商业职业技术学院学报》
2014年第4期102-105,共4页
Journal of Shandong Institute of Commerce and Technology
关键词
蚁群粒子群混合算法
多目标优化
供水管网
colony algorithm and particle swarm algorithm
multi-objective optimization
water supply system
