文章基本信息

标题：The irace package: Iterated racing for automatic algorithm configuration
本地全文：下载
作者：Manuel López-Ibáñez ; Manuel López-Ibáñez ; Jérémie Dubois-Lacoste 等
期刊名称：Operations Research Perspectives
印刷版ISSN：2214-7160
电子版ISSN：2214-7160
出版年度：2016
卷号：3
页码：43-58
DOI：10.1016/j.orp.2016.09.002
语种：English
出版社：Elsevier
摘要：Abstract Modern optimization algorithms typically require the setting of a large number of parameters to optimize their performance. The immediate goal of automatic algorithm configuration is to find, automatically, the best parameter settings of an optimizer. Ultimately, automatic algorithm configuration has the potential to lead to new design paradigms for optimization software. The irace package is a software package that implements a number of automatic configuration procedures. In particular, it offers iterated racing procedures, which have been used successfully to automatically configure various state-of-the-art algorithms. The iterated racing procedures implemented in irace include the iterated F-race algorithm and several extensions and improvements over it. In this paper, we describe the rationale underlying the iterated racing procedures and introduce a number of recent extensions. Among these, we introduce a restart mechanism to avoid premature convergence, the use of truncated sampling distributions to handle correctly parameter bounds, and an elitist racing procedure for ensuring that the best configurations returned are also those evaluated in the highest number of training instances. We experimentally evaluate the most recent version of irace and demonstrate with a number of example applications the use and potential of irace, in particular, and automatic algorithm configuration, in general.
关键词：KeywordsAutomatic algorithm configurationRacingParameter tuning