Thesis etd-09042017-113548 |
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Thesis type
Tesi di laurea magistrale
Author
IOMMAZZO, GABRIELE
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)
Supervisors
relatore Prof. Frangioni, Antonio
Keywords
- cplex
- hydro unit commitment
- machine learning
- mathematical optimization
- svr
Graduation session start date
06/10/2017
Availability
Full
Summary
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
| Nome file | Dimensione |
|---|---|
| Gabriele...MAZZO.pdf | 3.12 Mb |
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