Filters








3 Hits in 2.4 sec

Intelligent Time-Domain Parameters Matching for Shock Response Spectrum and Its Experimental Validation in Active Vibration Control Systems

Jinxin Liu, Liangdong Yang, Xingwu Zhang, Ruqiang Yan, Xuefeng Chen
2019 Shock and Vibration  
A variable-weight method has been introduced to combine the effects of hundreds objective functions so that the optimization problem can be solved by using the genetic algorithm.  ...  In the optimization process, normalized control factors have been formulated for the optimization variables so that they can be tuned in a reasonable small range to avoid irrationality and accelerating  ...  Parameters Optimization Based on GA e genetic algorithm (GA) is applied in this paper for parameters optimization of TSW. is algorithm is a kind of the random search optimization algorithm that simulates  ... 
doi:10.1155/2019/2920845 fatcat:yeu5svokrjec7n5mxblrr5jv2e

Voronoi polygons and self-consistent technique used to compute the airflow resistivity of randomly placed fibers in glass wool

Viggo Tarnow
2002 Journal of the Acoustical Society of America  
Of the unpublished algorithms, one algorithm has the potential for optimal convergence speed, and this algorithm is described in more detail in the presentation.  ...  Therefore changes to the algorithm that allows for sparse arrivals may improve performance.  ...  Seismo-acoustic inversion of shallow water data using genetic algorithms. Timothy H. Ruppel ͑Naval Res.  ... 
doi:10.1121/1.4809175 fatcat:jqxtrgkn2fcf3a7vzsp2u56akm

Past, present and future of nonlinear system identification in structural dynamics

Gaëtan Kerschen, Keith Worden, Alexander F. Vakakis, Jean-Claude Golinval
2006 Mechanical systems and signal processing  
Algorithms for optimally deploying sensors and exciters along the structure are not yet fully developed.  ...  The optimisation is achieved using the differential evolution algorithm which belongs to the class of genetic algorithms.  ... 
doi:10.1016/j.ymssp.2005.04.008 fatcat:fk6zjwb2rvedpm7xjky4454gpm