%0 Thesis
%9 Masters
%A Gelmini, A.
%B ELEDIA Research Center@DISI
%D 2013
%F elediasc12:598
%I University of Trento
%K Wireless Sensor Networks, Evolutionary Optimization
%T Performance analysis of DE algorithm for optimization of hydraulic networks
%U http://www.eledia.org/students-reports/598/
%X The aim of this project is to investigate the performances achievable when applying a Differential Evolution (DE) algorithm to the optimization of a real hydraulic network.  In particular, the set of N loss coefficients associated to the nodes inside an hydraulic networks will be optimized in order to match the simulations with the measurements coming from a real network.