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Description:
My Ph.D. Thesis relates to real-life optimization problems in the hydraulic engineering field. More precisely, with the collaboration of computer scientists, operational researchers and hydraulic engineers, I investigate and exploit potentialities of various Operational Research and Artificial Intelligence techniques in order to achieve good (and, whenever possible, optimal) solutions for those particular design issues of the urban hydraulic network that can be effectively modelled as known combinatorial optimization problems. Furthermore, suchdesign issues often require to devise new specialized variants of the known combinatorial optimization problems.