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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Vydané v:	Operations Research Forum Ročník 5; číslo 2; s. 48
Hlavní autori:	Kemminer, Robin, Lange, Jannick, Kempkes, Jens Peter, Tierney, Kevin, Weiß, Dimitri
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.06.2024 Springer Nature B.V
Predmet:	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
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