Boosting evolutionary algorithm configuration

Algorithm configuration has emerged as an essential technology for the improvement of high-performance solvers. We present new algorithmic ideas to improve state-of-the-art solver configurators automatically by tuning. Particularly, we introduce 1. a forward-simulation method to improve parallel per...

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Veröffentlicht in:	Annals of mathematics and artificial intelligence Jg. 90; H. 7-9; S. 715 - 734
Hauptverfasser:	Ansótegui, Carlos, Pon, Josep, Sellmann, Meinolf
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.09.2022 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Business metrics Combinatorial analysis Complex Systems Computer Science Configurations Evolutionary algorithms Genetic algorithms Logic programming Mathematical programming Mathematics Optimization Solvers State of the art Tournaments & championships Algorithm portfolios 68 Algorithm configuration Genetic algorithms
ISSN:	1012-2443, 1573-7470
Online-Zugang:	Volltext
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