作者: Guangyong Sun , Guangyao Li , Shiwei Zhou , Hongzhou Li , Shujuan Hou
DOI: 10.1007/S00158-010-0601-Z
关键词: Robust optimization 、 Multi-swarm optimization 、 Robustness (computer science) 、 Crashworthiness 、 Mathematical optimization 、 Metaheuristic 、 Probabilistic-based design optimization 、 Particle swarm optimization 、 Engineering 、 Multi-objective optimization
摘要: Although deterministic optimization has to a considerable extent been successfully applied in various crashworthiness designs to improve passenger safety and reduce vehicle cost, the design could become less meaningful or even unacceptable when considering the perturbations of design variables and noises of system parameters. To overcome this drawback, we present a multiobjective robust optimization methodology to address the effects of parametric uncertainties on multiple crashworthiness criteria, where several …