Optimization of tire noise by solving an Integer Linear Program (ILP)

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Matthias Becker
  • Nicolas Ginoux
  • Sébastien Martin
  • Zsuzsanna Róka

Externe Organisationen

  • Université de Lorraine (UL)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1591-1596
Seitenumfang6
ISBN (elektronisch)9781509018970
PublikationsstatusVeröffentlicht - 6 Feb. 2017
Veranstaltung2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Ungarn
Dauer: 9 Okt. 201612 Okt. 2016

Publikationsreihe

Name2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Abstract

One important aim in tire industry when finalizing a tire design is the modeling of the noise characteristics as received by the passengers of the car. In previous works, the problem was studied using heuristic algorithms to minimize the noise by looking for a sequence under constraints. These constraints are imposed by tire industry. We present a new technique to compute the noise. We also propose an integer linear program based on that technique in order to solve this problem and find an optimal sequence. Our study shows that the integer linear programming approach shows significant improvement of the found tire designs, however it has to be improved further to meet the calculation time restrictions for real world problem size.

ASJC Scopus Sachgebiete

Zitieren

Optimization of tire noise by solving an Integer Linear Program (ILP). / Becker, Matthias; Ginoux, Nicolas; Martin, Sébastien et al.
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. S. 1591-1596 7844466 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Becker, M, Ginoux, N, Martin, S & Róka, Z 2017, Optimization of tire noise by solving an Integer Linear Program (ILP). in 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings., 7844466, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., S. 1591-1596, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Ungarn, 9 Okt. 2016. https://doi.org/10.1109/SMC.2016.7844466
Becker, M., Ginoux, N., Martin, S., & Róka, Z. (2017). Optimization of tire noise by solving an Integer Linear Program (ILP). In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (S. 1591-1596). Artikel 7844466 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844466
Becker M, Ginoux N, Martin S, Róka Z. Optimization of tire noise by solving an Integer Linear Program (ILP). in 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. S. 1591-1596. 7844466. (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). doi: 10.1109/SMC.2016.7844466
Becker, Matthias ; Ginoux, Nicolas ; Martin, Sébastien et al. / Optimization of tire noise by solving an Integer Linear Program (ILP). 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. S. 1591-1596 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings).
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abstract = "One important aim in tire industry when finalizing a tire design is the modeling of the noise characteristics as received by the passengers of the car. In previous works, the problem was studied using heuristic algorithms to minimize the noise by looking for a sequence under constraints. These constraints are imposed by tire industry. We present a new technique to compute the noise. We also propose an integer linear program based on that technique in order to solve this problem and find an optimal sequence. Our study shows that the integer linear programming approach shows significant improvement of the found tire designs, however it has to be improved further to meet the calculation time restrictions for real world problem size.",
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