ParamILS: An Automatic Algorithm Configuration Framework

15 Jan 2014Frank HutterThomas StuetzleKevin Leyton-BrownHolger H. Hoos

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... (read more)

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