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...

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Veröffentlicht in:	Operations Research Forum Jg. 5; H. 2; S. 48
Hauptverfasser:	Kemminer, Robin, Lange, Jannick, Kempkes, Jens Peter, Tierney, Kevin, Weiß, Dimitri
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2024 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
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