水利学报Issue(3)：341-349,9.DOI:10.13243/j.cnki.slxb.2015.03.011
基于改进布谷鸟算法的梯级水库优化调度研究
Cascade reservoir operation optimization based-on improved Cuckoo Search
摘要
Abstract
It is a fundamental task to solve the cascade reservoir operation model. The improved Cuckoo Search algorithm provides a new idea. The Cuckoo Search algorithm (CS) is a new meta-heuristic algo⁃rithm for global search proposed in recent years. This new algorithm is very simple in structure,easy in ap⁃plication and effective in global search,thus drawing a widely attention in the world. In this paper,the op⁃timization mechanism of Cuckoo Search was analyzed. To further enhance the search efficiency, a dynamic detection probability and population variation mechanism were introduced to form the improved cuckoo search algorithm (ICS). The feasibility and effectiveness of ICS was validated by the application in cascade reservoir operation optimization. A case study reveals that the proposed strategies could obviously overcome the premature of standard CS algorithm. The ICS has been proved to be more efficient in optimization in terms of a greater power generation and stability of the optimal results.关键词
改进布谷鸟算法/莱维飞行/发现概率/梯级水库/优化调度Key words
improved cuckoo search algorithm/Lévy flight/detection probability/cascade reservoir opera-tion分类
建筑与水利引用本文复制引用
明波,黄强,王义民,刘登峰,白涛..基于改进布谷鸟算法的梯级水库优化调度研究[J].水利学报,2015,(3):341-349,9.基金项目
国家自然科学基金项目（51179148、51179149、51309188）；国家重大基础研究项目（2011CB403306）；陕西省重点科技创新团队项目（2012KCT-10）；陕西省教育厅重点实验室项目 （）
