885 citations · 1k across the 3 of their papers we have counts for
3 papers
Algorithm Configuration: Learning policies for the quick termination of poor performers
Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle
One way to speed up the algorithm configuration task is to use short runs instead of long runs as much as possible, but without discarding the configurations that eventually do wel…
ParamILS: An Automatic Algorithm Configuration Framework
Frank Hutter, Thomas Stuetzle, Kevin Leyton-Brown +1
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 a…
Evaluating Las Vegas Algorithms - Pitfalls and Remedies
Holger H. Hoos, Thomas Stutzle
Stochastic search algorithms are among the most sucessful approaches for solving hard combinatorial problems. A large class of stochastic search approaches can be cast into the fra…