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Design optimization of multi-link suspension system for total vehicle handling and stability

机译:多连杆悬挂系统的设计优化,可实现整车操纵和稳定性

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This paper discusses the design problem of vehicles using a multilink suspension systems with the aim of totally optimizing vehicle handling and stability. ^Since this problem includes many evaluation items, and a multilink suspension system has interconnected behavior, the optimization is complicated. ^An efficient and computable model is indispensable for compromising the total optimization. ^This paper investigates a hierarchical structure of objectives, introduces appropriate simulation models for the respective items, and formulates a mathematical optimization model based on them. ^We apply a Genetic-Algorithm (GA)-based optimization method to this problem. ^The GA is based on Simple GA and introduces several extensions, such as a fitness function for constrained multiobjective optimization problems, similarity-based selection, and direct crossover within side constraints. ^Optimization calculations show the validity of the optimization model and the optimization algorithm as mathematical-computation-based design methods. ^(Author)
机译:本文讨论了使用多连杆悬挂系统的车辆设计问题,目的是完全优化车辆的操纵性和稳定性。 ^由于此问题包括许多评估项目,并且多链接悬挂系统具有相互关联的行为,因此优化很复杂。 ^有效和可计算的模型对于折衷总体优化必不可少。 ^本文研究了目标的层次结构,为各个项目介绍了合适的仿真模型,并基于这些模型制定了数学优化模型。 ^我们将基于遗传算法(GA)的优化方法应用于此问题。 ^ GA基于简单GA,并引入了多种扩展,例如用于约束多目标优化问题的适应度函数,基于相似度的选择以及侧约束内的直接交叉。 ^优化计算证明了优化模型和优化算法作为基于数学计算的设计方法的有效性。 ^(作者)

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