A New Optimization Difference Algorithm Based on Fly Fruit
Acoustic wave equation is an important basis of seismic wave propagation,imaging and migration.Finite difference methods develop with its numerical stability and grid dispersion problems, and the issue of dispersion is a vital above all.Optimization methods can provide a high accuracy within a large wavenumber or frequencies.To obtain a higher precision, this paper propose a optimization difference algorithm based on fly fruit on a wide wavenumber range and construct the function of fitness which makes a process of iterating and finding the best smells.Dispersion analysis demonstrate that this scheme is much better than Taylor-expansion method.We make a experiment by applying homogeneous model, and the results indicate that fly fruit optimization approach a higher accuracy and reduce the computation cost.
fly fruit algorithm difference coefficient accuracy dispersion
Min Zhang Shouhua Dong
School of Resources and Geosciences China University of Mining & Technology,Xuzhou 221116, China China University of Mining & Technology, Xuzhou 221116, China
国际会议
北京
英文
205-207
2016-06-27(万方平台首次上网日期,不代表论文的发表时间)