Explanipedia

Enabling Research through the SCIP Optimization Suite 8.0 Open

Ksenia Bestuzheva, Mathieu Besançon, Wei‐Kun Chen, Antonia Chmiela, Tim Donkiewicz , et al. · 2023

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP . The focus of this article is on the role of the SCIP Optimization Suit…

The SCIP Optimization Suite 8.0 Open

Ksenia Bestuzheva, Mathieu Besançon, Wei‐Kun Chen, Antonia Chmiela, Tim Donkiewicz , et al. · 2021

Computer science Mathematics Physics

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. This paper discusses enhancements and extensions contained in version 8…

MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library Open

Ambros Gleixner, Gregor Hendel, Gerald Gamrath, Tobias Achterberg, Michael Bastubbe , et al. · 2021

Computer science Chemistry Biology

We report on the selection process leading to the sixth version of the Mixed Integer Programming Library, MIPLIB 2017. Selected from an initial pool of 5721 instances, the new MIPLIB 2017 collection consists of 1065 instances. A subset of …

The SCIP Optimization Suite 7.0 Open

Gerald Gamrath, Tobias Fischer, Tristan Gally, Ambros Gleixner, Gregor Hendel , et al. · 2020

Computer science Mathematics History

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. This paper discusses enhancements and extensions contained in version 7…

Enhanced predictions and structure exploitation in branch-and-bound Open

Gerald Gamrath · 2020

Computer science

Mixed-integer linear programming (MIP) is an extremely successful tool to solve real-world optimization problems to optimality. The core algorithm used by state-of-the-art MIP solvers is the branch-and-bound method. It consists of two prim…

Tackling Industrial-Scale Supply Chain Problems by Mixed-Integer Programming Open

Gerald Gamrath, Ambros Gleixner, Thorsten Koch, Matthias Miltenberger, Dimitri Kniasew Dimitri Kniasew , et al. · 2019

Computer science Mathematics Business

The modeling flexibility and the optimality guarantees provided by mixed-integer programming greatly aid the design of robust and future-proof decision support systems. The complexity of industrial-scale supply chain optimization, however,…

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