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Towards smarter MILP solvers: A data-driven approach to branch-and-bound
L.V. Scavuzzo Montaña
Discrete Mathematics and Optimization
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Dissertation (TU Delft)
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Keyphrases
Branch-and-bound
100%
Mixed Integer Linear Program
100%
Data-driven Approach
100%
Machine Learning
25%
Novel Technique
25%
Complex Optimization Problems
25%
Available Technology
25%
INIS
optimization
100%
branching ratio
100%
machine learning
100%
data
100%
Chemical Engineering
Learning System
100%