Theoretical challenges towards cutting-plane selection
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Abstract (arXiv)
While many classes of cutting-planes are at the disposal of integer programming solvers, our scientific understanding is far from complete with regards to cutting-plane selection, i.e., the task of selecting a portfolio of cutting-planes to be added to the LP relaxation at a given node of the branch-and-bound tree. In this paper we review the different classes of cutting-planes available, known theoretical results about their relative strength, important issues pertaining to cut selection, and discuss some possible new directions to be pursued in order to accomplish cutting-plane selection in a more principled manner. Finally, we review some lines of work that we undertook to provide a preliminary theoretical underpinning for some of the issues related to cut selection.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2018.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 6; 2025: 1.
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- 2022Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learningcited by 58
- 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Modelcited by 44
- 2022Adaptive Cut Selection in Mixed-Integer Linear Programmingcited by 25
- 2024Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programmingcited by 24
- 2023Machine Learning for Cutting Planes in Integer Programming: A Surveycited by 19
- 2023Learning to Configure Separators in Branch-and-Cutcited by 14
- 2024Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programmingcited by 12
- 2021Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trendscited by 9
- 2024LLMs for Cold-Start Cutting Plane Separator Configurationcited by 8
- 2024Machine Learning Insides OptVerse AI Solver: Design Principles and Applicationscited by 7
- 2022Cutting Plane Selection with Analytic Centers and Multiregressioncited by 4
- 2024Learning to Remove Cuts in Integer Linear Programmingcited by 4
4 more
- 2023Differentiable Cutting-plane Layers for Mixed-integer Linear Optimizationcited by 3
- 2024Accelerating process control and optimization via machine learning: A reviewcited by 3
- 2023Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programscited by 0
- 2025An Expansion-Based Approach for Quantified Integer Programmingcited by 0
- 2025An Expansion-Based Approach for Quantified Integer Programming4 Jun 2025
- 2024Accelerating process control and optimization via machine learning: A review24 Dec 2024
- 2024LLMs for Cold-Start Cutting Plane Separator Configuration16 Dec 2024
- 2024Learning to Remove Cuts in Integer Linear Programming26 Jun 2024
- 2024Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming19 Apr 2024
- 2024Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming8 Feb 2024
- 2024Machine Learning Insides OptVerse AI Solver: Design Principles and Applications11 Jan 2024
- 2023Learning to Configure Separators in Branch-and-Cut8 Nov 2023
- 2023Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization6 Nov 2023
- 2023Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs23 Oct 2023
- 2023Machine Learning for Cutting Planes in Integer Programming: A Survey17 Feb 2023
- 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model1 Feb 2023
4 more
- 2022Cutting Plane Selection with Analytic Centers and Multiregression14 Dec 2022
- 2022Learning To Cut By Looking Ahead: Cutting Plane Selection via Imitation Learning27 Jun 2022
- 2022Adaptive Cut Selection in Mixed-Integer Linear Programming22 Feb 2022
- 2021Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends5 Nov 2021
- 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Modelcited by 44
- 2022Adaptive Cut Selection in Mixed-Integer Linear Programmingcited by 25
- 2024Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programmingcited by 24
- 2023Machine Learning for Cutting Planes in Integer Programming: A Surveycited by 19
- 2023Learning to Configure Separators in Branch-and-Cutcited by 14
- 2024Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programmingcited by 12
- 2021Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trendscited by 9
- 2024LLMs for Cold-Start Cutting Plane Separator Configurationcited by 8
- 2024Machine Learning Insides OptVerse AI Solver: Design Principles and Applicationscited by 7
- 2022Cutting Plane Selection with Analytic Centers and Multiregressioncited by 4
- 2024Learning to Remove Cuts in Integer Linear Programmingcited by 4
- 2023Differentiable Cutting-plane Layers for Mixed-integer Linear Optimizationcited by 3
12 most cited of 15 All 15 (JSON)
- 2025An Expansion-Based Approach for Quantified Integer Programming4 Jun 2025
- 2024Accelerating process control and optimization via machine learning: A review24 Dec 2024
- 2024LLMs for Cold-Start Cutting Plane Separator Configuration16 Dec 2024
- 2024Learning to Remove Cuts in Integer Linear Programming26 Jun 2024
- 2024Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming19 Apr 2024
- 2024Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming8 Feb 2024
- 2024Machine Learning Insides OptVerse AI Solver: Design Principles and Applications11 Jan 2024
- 2023Learning to Configure Separators in Branch-and-Cut8 Nov 2023
- 2023Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization6 Nov 2023
- 2023Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs23 Oct 2023
- 2023Machine Learning for Cutting Planes in Integer Programming: A Survey17 Feb 2023
- 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model1 Feb 2023
12 newest of 15 All 15 (JSON)