Application of particle swarm algorithm based on Lévy flight in magnetotelluric inversion

ZHANG Yang-Yang; DU Wei; WANG Zhi-Shui; MIAO Xu-Huang; ZHANG Xiang

doi:10.11720/wtyht.2023.1330

2023 Vol. 47, No. 4

Article Contents

Article navigation > Geophysical and Geochemical Exploration > 2023 > 47(4): 986-993

Next Article Previous Article

ZHANG Yang-Yang, DU Wei, WANG Zhi-Shui, MIAO Xu-Huang, ZHANG Xiang. 2023. Application of particle swarm algorithm based on Lévy flight in magnetotelluric inversion. Geophysical and Geochemical Exploration, 47(4): 986-993. doi: 10.11720/wtyht.2023.1330

Citation:

ZHANG Yang-Yang, DU Wei, WANG Zhi-Shui, MIAO Xu-Huang, ZHANG Xiang. 2023. Application of particle swarm algorithm based on Lévy flight in magnetotelluric inversion. Geophysical and Geochemical Exploration, 47(4): 986-993. doi: 10.11720/wtyht.2023.1330

Application of particle swarm algorithm based on Lévy flight in magnetotelluric inversion

1. Geological Exploration Technology Institute of Anhui Province, Hefei 230031, China;
2. Yunnan University School of Earth Sciences,Kunming 650091,China

More Information

Corresponding author: DU Wei

Received Date: 30 June 2022

Revised Date: 17 November 2022

Publish Date: 11 October 2023

Abstract

Abstract

Particle swarm optimization algorithm has many advantages compared with linear inversion algorithm in magnetotelluric sounding inversion.However, the standard particle swarm algorithm also suffers from premature maturity in multidimensional optimization problems.Therefore, an optimized particle swarm algorithm based on the Lévy flight randomized wandering strategy is used to escape the local optimal solution,The results show that compared with the standard particle swarm optimization algorithm, the optimized particle swarm algorithm has faster fitness decline and better optimization ability.Finally, the improved particle swarm optimization algorithm is applied to the measured data of known boreholes, and the results show that the algorithm has good practicability.
- Lévy flight /
- magnetotelluric sounding inversion /
- nonlinear inversion /
- particle swarm optimization algorithm /
- one-dimensional finite element forward modeling