Performance analysis of DE algorithm for optimization of hydraulic networks

Gelmini, A. (2013) Performance analysis of DE algorithm for optimization of hydraulic networks. Masters thesis, University of Trento.

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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.

Item Type: Student Project Guidelines (Masters)
Uncontrolled Keywords: Wireless Sensor Networks, Evolutionary Optimization
Subjects: Uncategorized > TK Master Thesis and Project Reports
URI: http://www.eledia.org/students-reports/id/eprint/598

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