Evolutionary Computation Techniques To Assess
Losses In Water Supply Networks
Author(s)
S. Mambretti, P. S. Martins & R. L. Moraes
Abstract
In this work, a methodology that combines both simulation and measurements
of pressures and discharges on the water supply network is applied to a case
study. The demands of the model nodes are systematically changed by means of
two evolutionary algorithms and the network is simulated in order to match the
readings of the instruments. By comparing the measurements with the simulated
values it is possible to assess the losses and estimate their locations.
Specifically, two methods have been tested and applied to a case study: the
former based on Simulated Annealing (SA) and the latter on Genetic Algorithms
(GAs). The simulations show that the methods based on GAs perform much
better and are able to detect the different hypothesized scenarios, while the single
individual used by SA risks being trapped in an unfeasible zone in its search.
Moreover, the solution obtained by GAs can be further improved by means of
a simple Hill Climbing procedure (HC), thus achieving satisfactory results.
Keywords: water supply networks, water losses, Genetic Algorithms, hydraulic
modeling.
Keywords
Keywords: water supply networks, water losses, Genetic Algorithms, hydraulic
modeling.
Related Book
Other papers in this volume
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