摘要
针对两级隔振系统参数优化问题,引入最大熵优化方法,并结合遗传算法,提出了两级隔振系统参数优化设计的一种混合数值方法,并用此方法对两级隔振系统进行了单维及多维参数优化设计,优化后的两级隔振系统隔振性能大大提高,并且随着优化参数的增加,系统隔振性能也越好,表明该方法是合理有效的.该方法作为一种数值方法,适用于多目标及复杂结构的优化.
To study optimization of parameters for two-stage vibration isolation system, a new optimization methodin which maximum entropy approach combined with genetic algorithms was developed and used to optimize single and multi parameters of two-stage vibration isolation system. The efficiency of vibration isolation is improved effectively after optimization and efficiency is enhanced with increasing optimized parameters which shows that the proposed method is viable and effective and it is suitable for use in the optimization of multi-objective and complex structure.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2006年第5期893-896,共4页
Journal of Zhejiang University：Engineering Science
基金
声纳技术国防科技重点实验室基金资助项目(51446020101JW0404)
流体传动与控制国家重点实验室开放基金资助项目
关键词
两级隔振系统
优化
遗传算法
最大熵方法
two-stage vibration isolation system
optimization
genetic algorithm
maximum entropy
