• Media type: Text; E-Article
  • Title: Tire noise optimization problem: a mixed integer linear programming approach
  • Contributor: Becker, Matthias [Author]; Ginoux, Nicolas [Author]; Martin, Sébastien [Author]; Róka, Zsuzsanna [Author]
  • Published: Les Ulis : EDP Sciences, 2021
  • Published in: RAIRO - Operations Research = Recherche Opérationnelle (RO) 55 (2021), Nr. 5 ; RAIRO - Operations Research = Recherche Opérationnelle (RO)
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/14557; https://doi.org/10.1051/ro/2021147
  • ISSN: 0399-0559
  • Keywords: Tire shape optimization ; Mixed integer linear programming ; Branch-and-cut
  • Origination:
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  • Description: 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.
  • Access State: Open Access