Long-Term Stochastic Reservoir Operation Using a Noisy Genetic Algorithm

被引：17
|
作者：
Yun, Ruan [1 ,2 ]
Singh, Vijay P. [3 ]
Dong, Zengchuan [1 ]
机构：
[1] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Peoples R China
[2] Shandong Univ, Sch Civil Engn, Jinan 250061, Peoples R China
[3] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA
来源：
WATER RESOURCES MANAGEMENT | 2010年 / 24卷 / 12期
关键词：
Genetic algorithms; Noisy genetic algorithms; Monte Carlo; Optimization; Reservoir operation; SYSTEMS; SEARCH; DESIGN;
D O I：
10.1007/s11269-010-9600-5
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
To deal with stochastic characteristics of inflow in reservoir operation, a noisy genetic algorithm (NGA), based on simple genetic algorithms (GAs), is proposed. Using operation of a single reservoir as an example, the results of NGA and Monte Carlo method which is another way to optimize stochastic reservoir operation were compared. It was found that the noisy GA was a better alternative than Monte Carlo method for stochastic reservoir operation.
引用
收藏
页码：3159 / 3172
页数：14
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