计算机工程与应用2012，Vol.48Issue(4)：228-231,4.DOI:10.3778/j.issn.1002-8331.2012.04.067
基于混合差分进化算法的梯级水电站调度研究
Shuffled differential evolution algorithm based on optimal scheduling of cascade hydropower stations
摘要
Abstract
For the complicated problem of cascade hydropower stations optimal dispatch, a novel shuffled differential evolution algorithm is proposed by hybridizing Differential Evolution algorithm(DE) and Shuffled Frog Leaping algorithm(SFL). In the proposed algorithm, the population is periodically executes grouping and shuffling operations, and the individuals are updated according to the differential evolution strategy in each group. The algorithm is applied to a case of cascade hydropower stations mid-long term optimal scheduling. The results show it is feasible and more efficient than dynamic programming.关键词
差分进化算法/混合蛙跳算法/梯级水电站/优化调度Key words
differential evolution algorithm/ shuffled frog leaping/ cascade hydropower stations/ optimal scheduling分类
建筑与水利引用本文复制引用
李英海,莫莉,左建..基于混合差分进化算法的梯级水电站调度研究[J].计算机工程与应用,2012,48(4):228-231,4.基金项目
国家自然科学基金(No.51109086) （No.51109086）
三峡大学科学基金(No.KJ2009B064). （No.KJ2009B064）
