Automated Algorithm Selection: Survey and Perspectives

It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms. This is particularly pronounced for computationally hard problems, where in most cases, no single algorithm defines the state of t...

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Bibliographic Details

Published in:	Evolutionary computation Vol. 27; no. 1; p. 3
Main Authors:	Kerschke, Pascal, Hoos, Holger H, Neumann, Frank, Trautmann, Heike
Format:	Journal Article
Language:	English
Published:	United States 01.03.2019
Subjects:	metalearning data streams exploratory landscape analysis feature-based approaches continuous optimisation machine learning Automated algorithm selection automated algorithm configuration combinatorial optimisation
ISSN:	1530-9304, 1530-9304
Online Access:	Get more information
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