Effect of transformations of numerical parameters in automatic algorithm configuration

We study the impact of altering the sampling space of parameters in automatic algorithm configurators. We show that a proper transformation can strongly improve the convergence towards better configurations; at the same time, biases about good parameter values, possibly based on misleading prior kno...

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Bibliographic Details
Published in:	Optimization letters Vol. 12; no. 8; pp. 1741 - 1753
Main Authors:	Franzin, Alberto, Pérez Cáceres, Leslie, Stützle, Thomas
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2018
Subjects:	Computational Intelligence Mathematics Mathematics and Statistics Numerical and Computational Physics Operations Research/Decision Theory Optimization Original Paper Simulation Parameter transformation Automatic algorithm configuration Parameter tuning Numerical parameters
ISSN:	1862-4472, 1862-4480
Online Access:	Get full text
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