基于萤火虫算法的隔振体系参数优化研究  

Parameters optimization for vibration isolation system using Glowworm Swarm Optimization algorithm

作　　者：于文静[1] 

机构地区：[1]安徽水利水电职业技术学院,安徽合肥231603

出　　处：《安徽水利水电职业技术学院学报》2015年第2期8-11,共4页Journal of Anhui Technical College of Water Resources and Hydroelectric Power

摘　　要：文章将最新的群智能优化算法-萤火虫算法与主动隔振思想结合,以优化设计隔振参数。数值结果表明,文章所述方法可以有效地计算出最优参数,避免了经验性的隔振体系设计。A latest swarm intelligence optimization algorithm-GSO algorithm is combined with active vibration isolation theory to obtain the optimal parameters of given system. Numerical results show that the strategy presented in this paper can compute the optimal parameters effectively, and it avoids not designing the system empirically, meanwhile, it provides a new idea for optimal design of vibra- tion isolation, and it can give inspiration a lot for optimal vibration isolation.

关 键 词：萤火虫算法 多模态函数 隔振 参数设计 优化 

分 类 号：TU112.41[建筑科学—建筑理论]