Tire noise optimization problem: A mixed integer linear programming approach

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

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

Externe Organisationen

  • Université de Lorraine (UL)
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Details

OriginalspracheEnglisch
Seiten (von - bis)3073-3085
Seitenumfang13
FachzeitschriftRAIRO - Operations Research
Jahrgang55
Ausgabenummer5
PublikationsstatusVeröffentlicht - 14 Okt. 2021

Abstract

We present a Mixed Integer Linear Programming (MILP) approach in order to model the non-linear problem of minimizing the tire noise function. In a recent work, we proposed an exact solution for the Tire Noise Optimization Problem, dealing with an APproximation of the noise (TNOP-AP). Here we study the original non-linear problem modeling the EXact- or real-noise (TNOP-EX) and propose a new scheme to obtain a solution for the TNOP-EX. Relying on the solution for the TNOP-AP, we use a Branch&Cut framework and develop an exact algorithm to solve the TNOP-EX. We also take more industrial constraints into account. Finally, we compare our experimental results with those obtained by other methods.

ASJC Scopus Sachgebiete

Zitieren

Tire noise optimization problem: A mixed integer linear programming approach. / Becker, Matthias; Ginoux, Nicolas; Martin, Sébastien et al.
in: RAIRO - Operations Research, Jahrgang 55, Nr. 5, 14.10.2021, S. 3073-3085.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Becker M, Ginoux N, Martin S, Róka Z. Tire noise optimization problem: A mixed integer linear programming approach. RAIRO - Operations Research. 2021 Okt 14;55(5):3073-3085. doi: 10.1051/ro/2021147
Becker, Matthias ; Ginoux, Nicolas ; Martin, Sébastien et al. / Tire noise optimization problem : A mixed integer linear programming approach. in: RAIRO - Operations Research. 2021 ; Jahrgang 55, Nr. 5. S. 3073-3085.
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