Tire Noise Optimization Problem: A Mixed Integer Linear Program Approach

Research output: Working paper/Preprint › Preprint

Authors

  • Matthias Becker
  • Nicolas Ginoux
  • Sebastien Martin
  • Zsuzsanna Roka

Research Organisations

External Research Organisations

  • Université de Lorraine (UL)
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Details

Original languageEnglish
Publication statusE-pub ahead of print - 5 Sept 2018

Abstract

We present a Mixed Integer Linear Program (MILP) approach in order to model the nonlinear 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.

Keywords

    cs.DS

Cite this

Tire Noise Optimization Problem: A Mixed Integer Linear Program Approach. / Becker, Matthias; Ginoux, Nicolas; Martin, Sebastien et al.
2018.

Research output: Working paper/Preprint › Preprint

Becker, M., Ginoux, N., Martin, S., & Roka, Z. (2018). Tire Noise Optimization Problem: A Mixed Integer Linear Program Approach. Advance online publication. http://arxiv.org/abs/1809.05058v1
Becker M, Ginoux N, Martin S, Roka Z. Tire Noise Optimization Problem: A Mixed Integer Linear Program Approach. 2018 Sept 5. Epub 2018 Sept 5.
Becker, Matthias ; Ginoux, Nicolas ; Martin, Sebastien et al. / Tire Noise Optimization Problem : A Mixed Integer Linear Program Approach. 2018.
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