Configuring Mixed-Integer Programming Solvers for Large-Scale Instances

Algorithm configuration techniques automatically search for parameters of solvers and algorithms that provide minimal runtime or maximal solution quality on specified instance sets. Mixed-integer programming (MIP) solvers pose a particular challenge for algorithm configurators due to the difficulty...

Full description

Saved in:

Bibliographic Details
Published in:	Operations Research Forum Vol. 5; no. 2; p. 48
Main Authors:	Kemminer, Robin, Lange, Jannick, Kempkes, Jens Peter, Tierney, Kevin, Weiß, Dimitri
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.06.2024 Springer Nature B.V
Subjects:	Algorithm configuration Algorithms Applications of Mathematics Automation Business and Management Business metrics Configurations Critical components Datasets Genetic algorithms Integer programming Large-scale problem instances Linear programming Math Applications in Computer Science Mathematical and Computational Engineering Mixed integer Mixed-integer programming Operations Research & Machine Learning and Artificial Intelligence Operations Research/Decision Theory Optimization Solvers Large-scale problem instances Mixed-integer programming Algorithm configuration
ISSN:	2662-2556, 2662-2556
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!