Integrated pre-design step methodology based onmulti-objective evolutionary optimization

  • Authors:
  • David Mosnier;Frédéric Gillot;Antoine Ducloux;Mohamed Ichchou

  • Affiliations:
  • Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Centrale de Lyon, Ecully, France;Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Centrale de Lyon, Ecully, France;MFP Michelin, Clermont Ferrand, France;Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Centrale de Lyon, Ecully, France

  • Venue:
  • Proceedings of the 12th annual conference on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

In this paper we propose an integrated pre-design step framework using multiobjective evolutionary optimization and a decision support tool. The tailored genetic algorithm relies on specific fitness function which enables to deal with a high number of objectives. Moreover, surrogate models have been integrated so as to speed up objective functions evaluations which are usually expensive in case of mechanical product pre-design step. An automatic post-treatment of Pareto optimal solutions is proposed in order to synthesize a large multidimensional database into a restricted number of typings. This latter step is of particular importance since it affords designer a powerful decision support tool.