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.


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    Title :

    Optimization design of multibody systems by using genetic algorithms


    Contributors:
    Datoussaïd, S. (author) / Hadjit, R. (author) / Verlinden, O. (author) / Conti, C. (author)

    Published in:

    Vehicle System Dynamics ; 29 , sup1 ; 704-710


    Publication date :

    1998-01-01


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown