An analysis of parameters of irace

Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

14 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaEvolutionary Computation in Combinatorial Optimization - 14th European Conference, EvoCOP 2014, Revised Selected Papers
EditoresChristian Blum, Gabriela Ochoa
EditorialSpringer Verlag
Páginas37-48
Número de páginas12
ISBN (versión digital)9783662443194
EstadoPublicada - 2014
Publicado de forma externa
Evento14th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2014 - Granada, Espana
Duración: 23 abr. 201425 abr. 2014

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen8600
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2014
País/TerritorioEspana
CiudadGranada
Período23/04/1425/04/14

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