摘要
通过动态调节交叉和变异概率克服多岛遗传算法的早熟现象,并加入退火操作提高算法的局部寻优能力形成改进的多岛遗传算法。综合考虑动力总成悬置系统能量解耦和振动传递率,以悬置刚度参数为设计变量,以固有频率合理分配为约束条件,构造了基于改进的多岛遗传算法的多目标优化数学模型。优化实例的分析结果表明,改进后的算法能够得到全局最优解,优化后悬置系统刚度稳健性较好。实车试验结果表明整改后的悬置系统隔振性能得到一定程度上的提高。
As the probabilities of crossover and mutation were dynamically adopted to overcome the premature phenomenon of the multi-Island genetic algorithm, and combined with local search ability of the simulated annealing algorithm to form an improved multi - Island genetic algorithm. Considering energy decoupling and vibration transmission rate minimizing as the goal, taking the stiffness parameters of mounting system as design variables, the rational allocation of natural frequency as constraints, constructed a multi-objective optimization model which based on the improved algorithm. The analysis results of optimization example show that the improved algorithm can get the optimal solution, and the optimized stiffness parameters have better robustness. The vehicle experiments results show that the isolation performance of optimized mounting system is significantly improved.
出处
《汽车科技》
2015年第1期6-12,共7页
Auto Sci-Tech
关键词
改进的多岛遗传算法
动力总成悬置系统
稳健性
隔振
improved Multi-Island genetic algorithm
powertrain mounting system
robustness
vibration isolation
