Tire Noise Optimization Problem: a Mixed Integer Linear Program Approach

TL;DR

This paper introduces a MILP-based method for optimizing tire noise, incorporating more industrial constraints and using a Branch-and-Cut algorithm to find exact solutions, with comparative analysis against other approaches.

Contribution

The paper develops a MILP model for tire noise optimization that includes additional industrial constraints and employs a Branch-and-Cut algorithm for exact solutions.

Findings

MILP model effectively captures tire noise optimization problem.

Branch-and-Cut algorithm provides exact solutions.

Experimental results outperform some existing methods.

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.