TY - GEN
T1 - An analysis of parameters of irace
AU - Cáceres, Leslie Pérez
AU - López-Ibáñez, Manuel
AU - Stützle, Thomas
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014.
PY - 2014
Y1 - 2014
N2 - The irace package implements a flexible tool for the automatic configuration of algorithms. However, irace itself has specific parameters to customize the search process according to the tuning scenario. In this paper, we analyze five parameters of irace: the number of iterations, the number of instances seen before the first elimination test, the maximum number of elite configurations, the statistical test and the confidence level of the statistical test. These parameters define some key aspects of the way irace identifies good configurations. Originally, their values have been set based on rules of thumb and an intuitive understanding of the configuration process. This work aims at giving insights about the sensitivity of irace to these parameters in order to guide their setting and further improvement of irace.
AB - The irace package implements a flexible tool for the automatic configuration of algorithms. However, irace itself has specific parameters to customize the search process according to the tuning scenario. In this paper, we analyze five parameters of irace: the number of iterations, the number of instances seen before the first elimination test, the maximum number of elite configurations, the statistical test and the confidence level of the statistical test. These parameters define some key aspects of the way irace identifies good configurations. Originally, their values have been set based on rules of thumb and an intuitive understanding of the configuration process. This work aims at giving insights about the sensitivity of irace to these parameters in order to guide their setting and further improvement of irace.
UR - http://www.scopus.com/inward/record.url?scp=84927587880&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84927587880
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 37
EP - 48
BT - Evolutionary Computation in Combinatorial Optimization - 14th European Conference, EvoCOP 2014, Revised Selected Papers
A2 - Blum, Christian
A2 - Ochoa, Gabriela
PB - Springer Verlag
T2 - 14th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2014
Y2 - 23 April 2014 through 25 April 2014
ER -