کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
482899 | 1446222 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization](/preview/png/482899.png)
چکیده انگلیسی
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 approximators for the value functions, and efficient discretizations of the state space, such as orthogonal arrays, Latin hypercube designs and low-discrepancy sequences.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 171, Issue 3, 16 June 2006, Pages 1139–1151
Journal: European Journal of Operational Research - Volume 171, Issue 3, 16 June 2006, Pages 1139–1151
نویسندگان
Cristiano Cervellera, Victoria C.P. Chen, Aihong Wen,