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Digital archive of theses discussed at the University of Pisa

 

Thesis etd-09042017-113548

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Thesis type
Tesi di laurea magistrale
URN
etd-09042017-113548
Thesis title
Combining Machine Learning and Mathematical Optimization techniques to tackle IBM ILOG CPLEX automatic configuration on Hydro Unit Commitment problems
Department
INFORMATICA
Course of study
INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS)
Keywords
  • cplex
  • hydro unit commitment
  • machine learning
  • mathematical optimization
  • svr
Graduation session start date
06/10/2017
Availability
Full
Abstract (Inglese)
Abstract (Italiano)
This work want to build an approach that can select the best algorithmic parameters of the optimization solver IBM ILOG CPLEX, for solving instances of a specific Hydro Unit Commitment problem, This goal is achieved by mixing Machine Learning and Mathematical optimization methods and algorithms.
File
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Gabriele...MAZZO.pdf 3.12 Mb
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