Simplex quantum-behaved particle swarm optimization algorithm with application to ecological operation of cascade hydropower reservoirs
Simplex quantum-behaved particle swarm optimization algorithm with application to ecological operation of cascade hydropower reservoirs
复制标题
单纯形量子粒子群优化算法在梯级水库生态调度中的应用
DOI：
10.1016/j.asoc.2019.105715
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发表时间：
2019-11
影响因子：
8.7
通讯作者：
Zhou Jian-zhong
中科院分区：
文献类型：
--
作者：
Xia Yan;Feng Zhong-kai;Niu Wen-jing;Qin Hui;Jiang Zhi-qiang;Zhou Jian-zhong
With growing attentions paid to ecological protection in recent years, the ecological operation of cascade hydropower reservoirs is becoming an increasingly significant problem in water resource system. Mathematically, the ecological operation of cascade hydropower reservoirs is a high-dimensional, nonlinear and strong spatiotemporal coupling constrained optimization problem. To overcome the premature convergence and stagnation search of traditional methods in resolving this problem, this paper develops a novel algorithm known as simplex quantum-behaved particle swarm optimization, where the probabilistic mutation operator is performed on historical best position of some individuals, and then the simplex neighborhood search strategy based on the dynamic probability identification is used to enhance the local exploration ability of the swarm. The numerical experiments of 17 classical test functions indicate that the presented method can achieve satisfactory results in both convergence speed and global search ability. The application results from China’s Wu hydropower system indicate that our method has satisfying performance in reducing the ecological water shortage. Hence, this paper provides a novel effective tool for the complex ecological operation problem of cascade hydropower reservoirs.
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影响因子：
9
作者：
Zhong-kai Feng;Wen-jing Niu;Chun-tian Cheng;Jian-zhong Zhou
通讯作者：
Zhong-kai Feng;Wen-jing Niu;Chun-tian Cheng;Jian-zhong Zhou
基于高斯局部搜索和随机变异的精英正弦余弦算法解决水库调峰调度问题
影响因子：
3.2
作者：
Liu Shuai;Feng Zhong-Kai;Niu Wen-Jing;Zhang Hai-Rong;Song Zhen-Guo
通讯作者：
Song Zhen-Guo
多维动态规划的二维降维方法及其在梯级水库调度优化中的应用
影响因子：
3.4
作者：
Jiang Zhiqiang;Qin Hui;Ji Changming;Feng Zhongkai;Zhou Jianzhong
通讯作者：
Zhou Jianzhong
影响因子：
15.9
作者：
M. Nazari-Heris;B. Mohammadi-ivatloo;G. Gharehpetian
通讯作者：
M. Nazari-Heris;B. Mohammadi-ivatloo;G. Gharehpetian
DOI：
10.1016/j.envsoft.2014.01.028
发表时间：
2014-05
期刊：
Environ. Model. Softw.
影响因子：
--
作者：
Feifei Zheng;A. Zecchin
通讯作者：
Feifei Zheng;A. Zecchin