This paper presents a novel approximate dynamic programming technique for solving the pump schedule optimization of real-water distribution networks. The method is based on the significant decreasing of the search space by splitting the optimization problem into smaller units. In addition, the state space of the main distribution system was further reduced to the most important reservoirs. The capabilities of the proposed technique are demonstrated on a real-life problem, the water distribution system of the town of Sopron, Hungary. Nine test cases were defined which represent different initial water level scenarios, thus the new application was easy to compare to a former developed genetic algorithm and to some world-leading optimization solvers which are available on the NEOS Server. The benefits and drawbacks of these deterministic and heuristic methods are highlighted.
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September 14 2013
Comparison of deterministic and heuristic optimization solvers for water network scheduling problems Available to Purchase
J. G. Bene;
1Department of Hydrodynamic Systems, Budapest University of Technology and EconomicsH-1521 Budapest, P.O. Box. 91, Hungary
E-mail: [email protected]
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I. Selek;
I. Selek
2Systems Engineering Laboratory, University of Oulu, FIN-90014 Oulu, P.O. Box 4300, Finland
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Cs. Hős
Cs. Hős
1Department of Hydrodynamic Systems, Budapest University of Technology and EconomicsH-1521 Budapest, P.O. Box. 91, Hungary
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Water Supply (2013) 13 (5): 1367–1376.
Article history
Received:
October 17 2012
Accepted:
March 20 2013
Citation
J. G. Bene, I. Selek, Cs. Hős; Comparison of deterministic and heuristic optimization solvers for water network scheduling problems. Water Supply 1 September 2013; 13 (5): 1367–1376. doi: https://doi.org/10.2166/ws.2013.148
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