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# Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization

@article{Cervellera2006OptimizationOA, title={Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization}, author={Cristiano Cervellera and Victoria C. P. Chen and Aihong Wen}, journal={European Journal of Operational Research}, year={2006}, volume={171}, pages={1139-1151} }

- Published 2006 in European Journal of Operational Research
DOI:10.1016/j.ejor.2005.01.022

A numerical solution to a 30-dimensional water reservoir network optimization problem, based on stochastic dynamic programming, is presented. In such problems the amount of water to be released from each reservoir is chosen to minimize a nonlinear cost (or maximize benefit) function while satisfying proper constraints. Experimental results show how dimensionality issues, given by the large number of basins and realistic modeling of the stochastic inflows, can be mitigated by employing neural… CONTINUE READING

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