水库群供水优化调度的免疫蚁群算法应用研究  

Application of ant colony optimization based on immune evolutionary algorithm to optimal reservoir water supply dispatching

作　　者：万芳[1] 邱林[2] 黄强[1] 

机构地区：[1]西安理工大学西北水资源与环境生态教育部重点实验室,西安710048 [2]华北水利水电学院,郑州450011

出　　处：《水力发电学报》2011年第5期234-239,共6页Journal of Hydroelectric Engineering

基　　金：国家自然科学基金(50779053)

摘　　要：针对水库群供水优化调度问题,本文介绍了一种基于免疫进化的蚁群算法。该算法充分利用了免疫进化算法的全局快速收敛性和蚁群算法的正反馈性,同时在蚁群算法中增加扰动策略,克服了蚁群算法在求解过程中出现初期信息素匮乏、易陷入局部最优解的问题,并将其应用在滦河下游六水库联合供水优化调度中。实例计算表明,该算法求解水库群供水优化调度问题时,结果可靠、合理,计算效率高,从而为求解高维,复杂的水库供水优化调度提供了新的思路。Aiming at the problem of optimal reservoir water supply dispatching,an ant colony optimization based on immune evolutionary algorithm is presented.By adding perturbation to the optimization algorithm,this new hybrid method can combine the global searching ability of immune evolutionary algorithm with the positive feedback of ant colony optimization,and overcome the shortcomings of ant colony optimization in lack of pheromone at initial stage and converging to a local optimum.The method was applied to water supply dispatching of six reservoirs on the lower Luan River.Results show that the method is effective,reliable and of low computational cost,and it provides a new approach for multi-dimensional and complicated optimization of reservoir dispatching.

关 键 词：水利管理 水库群供水优化调度 蚁群算法 免疫进化算法 扰动策略 

分 类 号：TV697.1[水利工程—水利水电工程]