ParamILS: An Automatic Algorithm Configuration Framework

The identification of performance-optimizing parameter settings is an important part of the development and application of algorithms. We describe an automatic framework for this algorithm configuration problem. More formally, we provide methods for optimizing a target algorithm’s performance on a g...

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Bibliographic Details

Published in:	The Journal of artificial intelligence research Vol. 36; pp. 267 - 306
Main Authors:	Hutter, F., Hoos, H. H., Leyton-Brown, K., Stuetzle, T.
Format:	Journal Article
Language:	English
Published:	San Francisco AI Access Foundation 30.10.2009
Subjects:	Algorithms Artificial intelligence Configurations Integer programming Mixed integer Parameter identification
ISSN:	1076-9757, 1076-9757, 1943-5037
Online Access:	Get full text
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