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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Bibliographic Details

Published in:	European journal of operational research Vol. 329; no. 2; pp. 577 - 590
Main Authors:	Schede, Elias, Tierney, Kevin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2026
Subjects:	Combinatorial optimization Evolutionary computations Integer programming Machine learning Integer programming Evolutionary computations Combinatorial optimization Machine learning
ISSN:	0377-2217
Online Access:	Get full text
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