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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Vydané v:	European journal of operational research Ročník 329; číslo 2; s. 577 - 590
Hlavní autori:	Schede, Elias, Tierney, Kevin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2026
Predmet:	Combinatorial optimization Evolutionary computations Integer programming Machine learning Integer programming Evolutionary computations Combinatorial optimization Machine learning
ISSN:	0377-2217
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