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Water network design by MINLP

Authors: BRAGALLI, CRISTIANA; D'AMBROSIO, CLAUDIA; Lee J.; LODI, ANDREA; TOTH, PAOLO;

Water network design by MINLP

Abstract

The optimal design of water distribution networks is a complex problem even in its simplest formulation, where only the maintenance of a minimum pressure is required. This paper compares the best solutions obtained using different optimization algorithms: the BONMIN Branch and Bound algorithm, which directly tackles the MINLP (mixed integer non-linear programming) formulation, and two heuristic algorithms, i.e. GHEST (genetic heritage evolution by stochastic transmission) and an island parallel implementation of the multi-objective algorithm NSGA-II. In addition, the best solutions are compared with the actual diameter configuration of the network in terms of cost and of hydraulic behaviour. The three algorithms are applied to the hydraulic model of Modena water distribution network that takes into account the main pipes.

Country
Italy
Keywords

mixed integer non linear programming,modeling, open-source software, real-world istances

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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