摘要
采用蚁群算法对管道摩阻校正中试验点的选择进行优化,并对基本蚁群算法进行了改进,采用了利用一次循环中最优蚂蚁更新外激素值,并使外激素值限定在一定范围内,基于二进制编码的蚁群改进算法,取得了较好的优化效果。
This paper describes the application of Ant colony optimization algorithms （ACOAs） in the optimization of the selection of sampling spot for pipeline friction resistance calibration, and improves the basic ant optimization algorithms. In order to improve the optimization ability of ACOAs, the binary-coded max-min ACOAs is adopted, in which only one ant that is the best is allowed to provide a feedback mechanism by updating the trails and the trails are limited to an interval betweefi some maximum and minimum possible values. The Ant colony optimization algorithms proposed is applied in a network model and proven to perform very well.
出处
《中国农村水利水电》
北大核心
2006年第2期73-75,共3页
China Rural Water and Hydropower
关键词
蚁群算法
给水管网
摩阻系数校正
试验点优化
ant colony optimization algorithms
water distribution network
calibration of friction factor
sampling spot optimization
