Reinforcement learning for variable selection in a branch and bound algorithm

DOI10.1007/978-3-030-58942-4_12OpenAlexW3090460193MaRDI QIDQ2110404

Côme Bissuel, Safia Kedad-Sidhoum, Olivier Juan, Marc Etheve, Zacharie Ales

Publication date: 21 December 2022

Full work available at URL: https://arxiv.org/abs/2005.10026

zbMATH Keywords

neural networkbranch and boundreinforcement learningmixed integer linear programmingbranching strategy

Mathematics Subject Classification ID

Combinatorial optimization (90C27) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Operations research and management science (90Bxx)

Related Items (2)

A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference ⋮ Online learning for scheduling MIP heuristics

This page was built for publication: Reinforcement learning for variable selection in a branch and bound algorithm