The ICON Challenge on Algorithm Selection

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Date
2017
Authors
Kotthoff, Lars
Hurley, Barry
O'Sullivan, Barry
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Publisher
Association for the Advancement of Artificial Intelligence
Published Version
10.1609/aimag.v38i2.2722
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Abstract
Algorithm selection is of increasing practical relevance in a variety of applications. Many approaches have been proposed in the literature, but their evaluations are often not comparable, making it hard to judge which approaches work best. The ICON Challenge on Algorithm Selection objectively evaluated many prominent approaches from the literature, making them directly comparable for the first time. The results show that there is still room for improvement, even for the very best approaches.
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Keywords
Algorithm selection
Citation
Kotthoff, L., Hurley, B. and O'Sullivan, B. (2017) 'The ICON Challenge on Algorithm Selection', AI Magazine, 38(2), pp. 91-93. doi:10.1609/aimag.v38i2.2722
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https://hdl.handle.net/10468/5057
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© 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.