Отправлено: 09.12.09 11:43. Заголовок: Swarm intelligence optimization and its application in geophysical data inversion

Swarm intelligence optimization and its application in geophysical data inversion
Applied Geophysics
Chinese Geophysical Society
ISSN 1672-7975 (Print) 1993-0658 (Online)
Volume 6, Number 2 / Июнь 2009 г.
Категория Technical Papers
DOI 10.1007/s11770-009-0018-x
pp 166-174
Technical Papers
Nonlinear Integrated Inversion
Swarm intelligence optimization and its application in geophysical data inversion
Sanyi Yuan1 , Shangxu Wang1 and Nan Tian1

(1) CNPC Key Laboratory of Geophysical Exploration, Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum, Beijing, 102249, China

Received: 15 November 2008 Revised: 20 January 2009 Published online: 26 June 2009

Abstract The inversions of complex geophysical data always solve multi-parameter, nonlinear, and multimodal optimization problems. Searching for the optimal inversion solutions is similar to the social behavior observed in swarms such as birds and ants when searching for food. In this article, first the particle swarm optimization algorithm was described in detail, and ant colony algorithm improved. Then the methods were applied to three different kinds of geophysical inversion problems: (1) a linear problem which is sensitive to noise, (2) a synchronous inversion of linear and nonlinear problems, and (3) a nonlinear problem. The results validate their feasibility and efficiency. Compared with the conventional genetic algorithm and simulated annealing, they have the advantages of higher convergence speed and accuracy. Compared with the quasi-Newton method and Levenberg-Marquardt method, they work better with the ability to overcome the locally optimal solutions.
Keywords Swarm intelligence optimization - geophysical inversion - multimodal - particle swarm optimization algorithm

This research was financially supported by the 973 Program (Grant No 2007CB209600) and Open Fund (No. GDL0706) of the Key Laboratory of Geo-detection (China University of Geosciences, Beijing), Ministry of Education.
Yuan Sanyi received a Bachelor’s degree of Prospecting Technology and Engineering at Yangtze University in 2006. He is now a PhD student at China University of Petroleum (Beijing). His research interests mainly includes spectral inversion, swarm intelligence inversion, and seismic data processing.