TY  - THES
ID  - elediasc12598
A1  - Gelmini, A.
AV  - public
KW  - Wireless Sensor Networks
KW  -  Evolutionary Optimization
PB  - University of Trento
TI  - Performance analysis of DE algorithm for optimization of hydraulic networks
UR  - http://www.eledia.org/students-reports/598/
Y1  - 2013///
M1  - masters
N2  - 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.

ER  -