The SCIP optimization suite 8.0
K Bestuzheva, M Besançon, WK Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework SCIP. This …
optimization centered around the constraint integer programming framework SCIP. This …
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization is a well-established area in operations research and computer
science. Until recently, its methods have focused on solving problem instances in isolation …
science. Until recently, its methods have focused on solving problem instances in isolation …
Solving mixed integer programs using neural networks
Mixed Integer Programming (MIP) solvers rely on an array of sophisticated heuristics
developed with decades of research to solve large-scale MIP instances encountered in …
developed with decades of research to solve large-scale MIP instances encountered in …
Exact combinatorial optimization with graph convolutional neural networks
Combinatorial optimization problems are typically tackled by the branch-and-bound
paradigm. We propose a new graph convolutional neural network model for learning branch …
paradigm. We propose a new graph convolutional neural network model for learning branch …
[PDF][PDF] The SCIP optimization suite 7.0
G Gamrath, D Anderson, K Bestuzheva, WK Chen… - 2020 - opus4.kobv.de
The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming frame-work SCIP. This …
optimization centered around the constraint integer programming frame-work SCIP. This …
Learning to cut by looking ahead: Cutting plane selection via imitation learning
MB Paulus, G Zarpellon, A Krause… - International …, 2022 - proceedings.mlr.press
Cutting planes are essential for solving mixed-integer linear problems (MILPs), because
they facilitate bound improvements on the optimal solution value. For selecting cuts, modern …
they facilitate bound improvements on the optimal solution value. For selecting cuts, modern …
Enabling research through the SCIP optimization suite 8.0
K Bestuzheva, M Besançon, WK Chen… - ACM Transactions on …, 2023 - dl.acm.org
The scip Optimization Suite provides a collection of software packages for mathematical
optimization centered around the constraint integer programming framework scip. The focus …
optimization centered around the constraint integer programming framework scip. The focus …
A critical problem in benchmarking and analysis of evolutionary computation methods
J Kudela - Nature Machine Intelligence, 2022 - nature.com
Benchmarking is a cornerstone in the analysis and development of computational methods,
especially in the field of evolutionary computation, where theoretical analysis of the …
especially in the field of evolutionary computation, where theoretical analysis of the …
A deep instance generative framework for milp solvers under limited data availability
In the past few years, there has been an explosive surge in the use of machine learning (ML)
techniques to address combinatorial optimization (CO) problems, especially mixed-integer …
techniques to address combinatorial optimization (CO) problems, especially mixed-integer …
Operational Research: methods and applications
Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …
models and algorithms that have been applied to a wide range of contexts. This …