Automatic MILP Solver configuration by learning problem similarities

DOI10.1007/s10479-023-05508-xMaRDI QIDQ6589112

Abdelrahman Hosny, Sherief Reda

Publication date: 19 August 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

mixed integer linear programmingmetric learningalgorithm configurationdeep learning

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11)

Cites Work

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• Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
• MaxSAT by improved instance-specific algorithm configuration
• Mixed integer linear programming in process scheduling: modeling, algorithms, and applications
• Tuning metaheuristics. A machine learning Perspective
• Efficient global optimization of expensive black-box functions
• Learning a classification of mixed-integer quadratic programming problems
• Learning when to use a decomposition
• Machine learning for combinatorial optimization: a methodological tour d'horizon
• PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite
• Metric Learning: A Survey
• Constraint Integer Programming: A New Approach to Integrate CP and MIP
• Applications of Combinatorial Optimization

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