The designing step of multibody systems requires in some specific cases an optimization process, where the design parameters have to be determined by taking into account the expected kinematic or dynamic performances. The aim of this paper is to propose an optimal design method adapted to multibody systems containing closed loops and submitted to kinematic and/or dynamic time-dependent criteria. The optimization process is based on genetic algorithms, using a natural evolution concept leading to stochastic optimization techniques that can often overtop classical optimization methods when applied to real-world problems Illustrative examples are given in the context of the optimization of the kinematics of the suspension of a motorcar and the lateral dynamics of an urban railway vehicle.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimization design of multibody systems by using genetic algorithms


    Beteiligte:
    Datoussaïd, S. (Autor:in) / Hadjit, R. (Autor:in) / Verlinden, O. (Autor:in) / Conti, C. (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 29 , sup1 ; 704-710


    Erscheinungsdatum :

    1998-01-01


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt