A method for the automated configuration of anytime portfolios of algorithms

Optimization algorithms contain parameters that greatly influence their behavior, such that finding good parameters with automated algorithm configuration tools has become a critical component in the algorithm design process. Many optimization algorithms possess the anytime property, meaning they ca...

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Veröffentlicht in:	European journal of operational research Jg. 329; H. 2; S. 577 - 590
Hauptverfasser:	Schede, Elias, Tierney, Kevin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2026
Schlagworte:	Combinatorial optimization Evolutionary computations Integer programming Machine learning Integer programming Evolutionary computations Combinatorial optimization Machine learning
ISSN:	0377-2217
Online-Zugang:	Volltext
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