An analysis of parameters of irace

Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations


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.

Original languageEnglish
Title of host publicationEvolutionary Computation in Combinatorial Optimization - 14th European Conference, EvoCOP 2014, Revised Selected Papers
EditorsChristian Blum, Gabriela Ochoa
PublisherSpringer Verlag
Number of pages12
ISBN (Electronic)9783662443194
StatePublished - 2014
Externally publishedYes
Event14th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2014 - Granada, Spain
Duration: 23 Apr 201425 Apr 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2014


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