NDLI: A unified race algorithm for offline parameter tuning

Content Provider	IEEE Xplore Digital Library
Author	van Dijk, Tim Mes, Martijn Schutten, Marco Gromicho, Joaquim
Copyright Year	2014
Description	Author affiliation: Dep. Algorithmic Innovation, ORTEC Software Development, Houtsingel 5, 2719 EA Zoetermeer, THE NETHERLANDS (Gromicho, Joaquim) \|\| Dep. Industrial Engineering and Business Information Systems, University of Twente, Drienerlolaan 5, 7522 NB Enschede, THE NETHERLANDS (van Dijk, Tim; Mes, Martijn; Schutten, Marco)
Abstract	This paper proposes uRace, a unified race algorithm for efficient offline parameter tuning of deterministic algorithms. We build on the similarity between a stochastic simulation environment and offline tuning of deterministic algorithms, where the stochastic element in the latter is the unknown problem instance given to the algorithm. Inspired by techniques from the simulation optimization literature, uRace enforces fair comparisons among parameter configurations by evaluating their performance on the same training instances. It relies on rapid statistical elimination of inferior parameter configurations and an increasingly localized search of the parameter space to quickly identify good parameter settings. We empirically evaluate uRace by applying it to a parameterized algorithmic framework for loading problems at ORTEC, a global provider of software solutions for complex decision-making problems, and obtain competitive results on a set of practical problem instances from one of the world's largest multinationals in consumer packaged goods.
Starting Page	3971
Ending Page	3982
File Size	384663
Page Count	12
File Format	PDF
e-ISBN	9781479974863
DOI	10.1109/WSC.2014.7020222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tuning Training Software algorithms Loading Optimization Containers Software
Content Type	Text
Resource Type	Article

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