Long-Term Stochastic Reservoir Operation Using a Noisy Genetic Algorithm

Ruan Yun (), Vijay Singh () and Zengchuan Dong

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2010, vol. 24, issue 12, 3159-3172

Abstract: 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. Copyright Springer Science+Business Media B.V. 2010

Keywords: Genetic algorithms; Noisy genetic algorithms; Monte Carlo; Optimization; Reservoir operation (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/s11269-010-9600-5

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