Enabling research through the scip optimization suite 8.0

Bestuzheva K, Besancon M, Chen WK, Chmiela A, Donkiewicz T, Van Doornmalen J, Eifler L, Gaul O, Gamrath G, Gleixner A, Gottwald L, Graczyk C, Halbig K, Hoen A, Hojny C, Van Der Hulst R, Koch T, Lubbecke M, Maher SJ, Matter F, Muhmer E, Muller B, Pfetsch ME, Rehfeldt D, Schlein S, Schlosser F, Serrano F, Shinano Y, Sofranac B, Turner M, Vigerske S, Wegscheider F, Wellner P, Weninger D, Witzig J (2023)


Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 49

Article Number: 22

Journal Issue: 2

DOI: 10.1145/3585516

Abstract

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 Suite in supporting research. SCIP's main design principles are discussed, followed by a presentation of the latest performance improvements and developments in version 8.0, which serve both as examples of SCIP's application as a research tool and as a platform for further developments. Furthermore, this article gives an overview of interfaces to other programming and modeling languages, new features that expand the possibilities for user interaction with the framework, and the latest developments in several extensions built upon SCIP.

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APA:

Bestuzheva, K., Besancon, M., Chen, W.K., Chmiela, A., Donkiewicz, T., Van Doornmalen, J.,... Witzig, J. (2023). Enabling research through the scip optimization suite 8.0. Acm Transactions on Mathematical Software, 49(2). https://doi.org/10.1145/3585516

MLA:

Bestuzheva, Ksenia, et al. "Enabling research through the scip optimization suite 8.0." Acm Transactions on Mathematical Software 49.2 (2023).

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