自适应人工蚁群算法在水资源优化配置中的应用  

Adaptive Ant Colony System Algorithm and Application in Water Resources Optimal Allocation Model

作　　者：白继中[1,2] 师彪[1] 冯民权[1] 周利坤[1,3] 

机构地区：[1]西安理工大学水利水电学院,西安710048 [2]山西水利职业技术学院,山西运城044004 [3]武警工程学院,西安710086

出　　处：《沈阳农业大学学报》2011年第4期454-459,共6页Journal of Shenyang Agricultural University

基　　金：国家火炬计划基金项目(07C26213711606);山西省水利厅科技计划基金项目(2009WK110)

摘　　要：为实现水资源合理调度,建立了水资源优化配置模型,针对该非线性模型求解较困难及其他方法求解精度不高的问题,提出了自适应人工蚁群算法(AACS)。以闻喜涑水灌区和陈村灌区水资源优化配置为实例,对涑水河陈村峪水库、紫家峪水库和杨家园水库给灌区供水调度进行优化,采用AACS法求解灌区水资源优化配置模型。结果表明:该模型可真实地反映灌区供需水平衡变化的总体趋势,所建模型是合理的,为判断时间序列数据的非线性提供了一种新方法。To achieve rational management of water resources,a model for optimal allocation of water was established.The non-linear model is difficult,and high precision is not obtained by other methods.Adaptive artificial ant colony algorithm（AACS） was proposed.Water resources optimal models of Wenxisu irrigation and Chencun irrigation allocation were taken as instances.Water of Chencunyu reservoir,Zijiayu reservoir and Yangjiayuan reservoir in Su River was optimized scheduling to supply irrigation water.To solve the optimal allocation model of irrigation water,the AACS method was used.The results indicated that the model could truly reflect the general changes trends of water balance on the supply and demand in irrigation,which provided a new method to estimate the non-linearity of time series.The model was reasonable.AACS overcame the shortcomings of the artificial ant colony algorithm,which was trapped to local minima easily,poor search quality and accuracy.Adaptive artificial ant colony algorithm is a scientific and effective non-linear optimization method.It can solve the water resources optimal allocation model.

关 键 词：水文学 水资源优化配置模型 自适应蚁群算法 精度高 

分 类 号：TM614[电气工程—电力系统及自动化]