A New Optimization Difference Algorithm Based on Fly Fruit

DOI

10.2991/iceeg-16.2016.56How to use a DOI?

Keywords

fly fruit algorithm,difference coefficient,accuracy,dispersion

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Min Zhang
AU  - Shouhua Dong
PY  - 2016/06
DA  - 2016/06
TI  - A New Optimization Difference Algorithm Based on Fly Fruit
BT  - Proceedings of the 7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology
PB  - Atlantis Press
SP  - 204
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceeg-16.2016.56
DO  - 10.2991/iceeg-16.2016.56
ID  - Zhang2016/06
ER  -