Solver tuning and model configuration

Barry, Michael (Abgottspon, Hubert; University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Abgottspon, Hubert (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Schumann, René (Abgottspon, Hubert; University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

This paper addresses the problem of tuning parameters of mathematical solvers to increase their performance. We investigate how solvers can be tuned for models that undergo two types of configuration: variable configuration and constraint configuration. For each type, we investigate search algorithms for data generation that emphasizes exploration or exploitation. We show the difficulties for solver tuning in constraint configuration and how data generation methods affects a training sets learning potential.


Keywords:
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Cham, Springer
Date:
2018-08
Cham
Springer
Pagination:
pp. 141-154
Published in:
KI 2018: advances in artificial intelligence : joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz)
Series Statement:
Lecture Notes in Computer Science book series, vol. 11117
Author of the book:
Turhan, Anni-Yasmin ; ed. TU Dresden, Dresden, Germany
Trollman, Frank ; ed. ; TU Berlin, Berlin, Germany
DOI:
ISBN:
978-3-030-00110-0
Appears in Collection:



 Record created 2018-12-10, last modified 2019-03-01

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