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math.OC2022
A machine learning framework for neighbor generation in metaheuristic search
Defeng Liu, Vincent Perreault, Alain Hertz +1
This paper presents a methodology for integrating machine learning techniques into metaheuristics for solving combinatorial optimization problems. Namely, we propose a general mach…
math.OC2021
Revisiting local branching with a machine learning lens
Defeng Liu, Matteo Fischetti, Andrea Lodi
Finding high-quality solutions to mixed-integer linear programming problems (MILPs) is of great importance for many practical applications. In this respect, the refinement heuristi…