An optimization design method of weighting factors for active suspension LQR controller based on multi - objective genetic algorithm has been presented. The nondominated sorting genetic algorithm Ⅱ (NSGA- Ⅱ ) has been improved and then applied. The simulation results show that each run of the algorithm can produce many Pareto -optimal weighting factors and the satisfactory factors can be selected by the designer according to the preference, while the subjectivity and blindness of the conventional method have been overcame.%对多目标遗传算法NSGA-Ⅱ进行了改进,提出了基于改进NSGA-Ⅱ算法的主动悬架LQR控制加权系数设计方法.仿真结果表明,多目标遗传算法一次运行可以获得多组Pareto最优的性能指标加权系数,设计者可以根据偏好选择最终的满意解,避免了现有加权系数选择方法存在的主观性和盲目性.
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