Integrated workflow for multi-objective evolutionary optimization of the vehicle tyre parameters

An integrated workflow based on a multi-objective evolutionary optimization algorithm combined with an automatic post-treatment of optimal solutions is presented. This workflow enables a fast pre-design of the vehicle tyre and suspension parameters to be achieved. Such optimization involves usually more than five objective functions. In this case, classical multi-objective approaches are not very successful in providing the designer automatically and quickly with a limited set of Pareto-optimal solutions. In this paper, the proposed workflow is applied to help during the pre-design of the tyre dimensions. Tyres have to fulfil about ten different specifications from road handling to rolling resistance. The results are given as a limited set of solutions, hence providing very powerful decision support for the designer.