Manuel López-Ibáñez
Thomas Stützle
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Index Terms
- Automatic (offline) configuration of algorithms
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Automatic (Offline) Configuration of Algorithms
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary ComputationMost optimization algorithms, including evolutionary algorithms and metaheuristics, and general-purpose solvers for integer or constraint programming, have often many parameters that need to be properly configured (i.e., tuned) for obtaining the best ...
Efficient configuration of optimization algorithms
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionWe propose a set of capping methods to speed-up the automatic configuration of optimization algorithms. First, we build a performance envelope based on previous executions of known configurations, which defines the minimum required performance for new ...
Capping methods for the automatic configuration of optimization algorithms
AbstractAutomatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms. Configuration is costly, because it is necessary to evaluate many configurations on different instances. ...
Highlights- Novel capping methods for configuring optimization algorithms.
- An integration ...
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