This paper presents an innovative optimization approach to solve structural design optimization problems in the automotive industry. The new approach is based on Taguchi’s robust design approach and particle swarm optimization algorithm. The proposed approach is applied to the structural design optimization of a vehicle part to illustrate how the present approach can be applied for solving design optimization problems. The results show the ability of the proposed approach to find better optimal solutions for structural design optimization problems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A new hybrid particle swarm optimization approach for structural design optimization in the automotive industry


    Contributors:


    Publication date :

    2012-10-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown






    Research on Hybrid Particle Swarm Optimization

    Yu, H.-j. / Xu, N. / Zhang, L.-p. et al. | British Library Online Contents | 2005


    Hybrid artificial intelligence and structural design optimization approaches in the automotive industry

    Irdis,K. / Neemettin,N. / Oeztuerk,N. et al. | Automotive engineering | 2008


    Particle Swarm Optimization

    Gerhard Venter / Jaroslaw Sobieszczanski-Sobieski | AIAA | 2003