@mastersthesis{elediasc12598,
          author = {A. Gelmini},
           title = {Performance analysis of DE algorithm for optimization of hydraulic networks},
          school = {University of Trento},
            year = {2013},
        keywords = {Wireless Sensor Networks, Evolutionary Optimization},
             url = {http://www.eledia.org/students-reports/598/},
        abstract = {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.
}
}