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Tire noise optimization problem: a mixed integer linear programming approach

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.
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https://hal.archives-ouvertes.fr/hal-03379132
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Submitted on : Thursday, October 14, 2021 - 9:42:41 PM
Last modification on : Monday, November 29, 2021 - 11:46:16 AM

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Matthias Becker, Nicolas Ginoux, Sébastien Martin, Zsuzsanna Róka. Tire noise optimization problem: a mixed integer linear programming approach. RAIRO - Operations Research, EDP Sciences, 2021, 55 (5), pp.3073-3085. ⟨10.1051/ro/2021147⟩. ⟨hal-03379132v2⟩

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