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Tesi etd-09042017-113548


Thesis type
Tesi di laurea magistrale
Author
IOMMAZZO, GABRIELE
URN
etd-09042017-113548
Title
Combining Machine Learning and Mathematical Optimization techniques to tackle IBM ILOG CPLEX automatic configuration on Hydro Unit Commitment problems
Struttura
INFORMATICA
Corso di studi
INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS)
Commissione
relatore Prof. Frangioni, Antonio
Parole chiave
  • machine learning
  • mathematical optimization
  • svr
  • hydro unit commitment
  • cplex
Data inizio appello
06/10/2017;
Consultabilità
completa
Riassunto analitico
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.
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