Adaptive Cut Selection in Mixed-Integer Linear Programming-Reference-Cited by-同舟云学术

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Adaptive Cut Selection in Mixed-Integer Linear Programming

Published:2023-07-20 Issue: Volume:4 Page:1-28
ISSN:2777-5860
Container-title:Open Journal of Mathematical Optimization
language:en
Short-container-title:

Author:

Turner Mark,Koch Thorsten,Serrano Felipe,Winkler Michael

Publisher

Cellule MathDoc/CEDRAM

Subject

Management Science and Operations Research,Control and Optimization

Link

https://ojmo.centre-mersenne.org//item/10.5802/ojmo.25.pdf

Reference31 articles.

1. [1] Achterberg, Tobias Constraint integer programming, Ph. D. Thesis, TU Berlin (2007)

2. Presolve reductions in mixed integer programming;Achterberg, Tobias;INFORMS J. Comput.,2020

3. Mixed integer programming: Analyzing 12 years of progress;Achterberg, Tobias;Facets of combinatorial optimization,2013

4. Embedding ${$ 0, $1 / 2}$ -Cuts in a Branch-and-Cut Framework: A Computational Study;Andreello, Giuseppe;INFORMS J. Comput.,2007

5. [5] Ba, Jimmy L.; Kiros, Jamie Ryan; Hinton, Geoffrey E. Layer normalization (2016) (https://arxiv.org/abs/1607.06450)

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1. A multi-agent learning framework for mixed-integer linear programming;INFOR: Information Systems and Operational Research;2024-08-09

2. Enhancing cut selection through reinforcement learning;Science China Mathematics;2024-05-15

3. Learning to optimize: A tutorial for continuous and mixed-integer optimization;Science China Mathematics;2024-05-08

4. MILP Acceleration: A Survey from Perspectives of Simplex Initialization and Learning-Based Branch and Bound;Journal of the Operations Research Society of China;2023-07-03

5. An abstract model for branch and cut;Mathematical Programming;2023-06-30

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