Back to Search Start Over

Tire noise optimization problem: a Mixed Integer Linear Program approach

Authors :
Becker, Matthias
Ginoux, Nicolas
Martin, Sebastien
Roka, Zsuzsanna
Department of Software Engineering and IT Security
Fraunhofer Institute for Mechatronic Systems Design (Fraunhofer IEM)
Fraunhofer (Fraunhofer-Gesellschaft)-Fraunhofer (Fraunhofer-Gesellschaft)
Institut Élie Cartan de Lorraine (IECL)
Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS)
Université de Lorraine (UL)
Source :
RAIRO-Operations Research, RAIRO-Operations Research, EDP Sciences, In press
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; We present a Mixed Integer Linear Program (MILP) approach in order to model the non-linear problem of minimizing the tire noise. We first take more industrial constraints into account than in a former work of the authors. Then, we associate a Branch-and-Cut algorithm to the MILP to obtain exact solutions. We compare our experimental results with those obtained by other methods.

Details

Language :
English
ISSN :
03990559 and 12903868
Database :
OpenAIRE
Journal :
RAIRO-Operations Research, RAIRO-Operations Research, EDP Sciences, In press
Accession number :
edsair.doi.dedup.....3a340d0af12ecb62db030f48cff822f1