67 citations · 80 across the 7 of their papers we have counts for
8 papers
The SCIP Optimization Suite 9.0
Suresh Bolusani, Mathieu Besançon, Ksenia Bestuzheva +28
The SCIP Optimization Suite provides a collection of software packages for mathematical optimization, centered around the constraint integer programming (CIP) framework SCIP. This…
PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs
Mark Turner, Antonia Chmiela, Thorsten Koch +1
A standard tool for modelling real-world optimisation problems is mixed-integer programming (MIP). However, for many of these problems, information about the relationships between…
Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization
Gioni Mexi, Mathieu Besançon, Suresh Bolusani +3
We introduce Scylla, a primal heuristic for mixed-integer optimization problems. It exploits approximate solves of the Linear Programming relaxations through the matrix-free Primal…
Online Learning for Scheduling MIP Heuristics
Antonia Chmiela, Ambros Gleixner, Pawel Lichocki +1
Mixed Integer Programming (MIP) is NP-hard, and yet modern solvers often solve large real-world problems within minutes. This success can partially be attributed to heuristics. Sin…
Enabling Research through the SCIP Optimization Suite 8.0
Ksenia Bestuzheva, Mathieu Besançon, Wei-Kun Chen +32
The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. The focus of…
Global Optimization of Mixed-Integer Nonlinear Programs with SCIP 8
Ksenia Bestuzheva, Antonia Chmiela, Benjamin Müller +3
For over ten years, the constraint integer programming framework SCIP has been extended by capabilities for the solution of convex and nonconvex mixed-integer nonlinear programs (M…
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…
Learning to Schedule Heuristics in Branch-and-Bound
Antonia Chmiela, Elias B. Khalil, Ambros Gleixner +2
Primal heuristics play a crucial role in exact solvers for Mixed Integer Programming (MIP). While solvers are guaranteed to find optimal solutions given sufficient time, real-world…