Using Particle Swarm Optimization Method to Invert Active Surface Waves

• Published in: Swarm Intelligence Based Optimization pp. 26 - 34
• Main Authors: Poormirzaee, Rashed, Moghadam, Rasoul Hamidzadeh
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 01.01.2014
• Series: Lecture Notes in Computer Science
• Subjects: Inversion; MASW; PSO
• ISBN: 3319129694; 9783319129693
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-12970-9_3

The inversion of surface wave is an estimation of the earth’s properties from the measured surface wave data. The surface wave inversion cannot be solved directly, requiring an optimization technique to find the most probable solution in a pool of infinite candidates. With the development of data optimization methods, fast and easier approaches can be conducted for inversion of geophysical data. This study proposes Particle Swarm Optimization (PSO) algorithm for inversion of Multichannel Analysis of Surface Wave (MASW) method as an active geophysical technique. So, first we developed PSO code in Matlab for inversion of MASW data and then the efficiency of proposed algorithm investigated by inversion of a synthetic model and a real data set. Experiments on both synthetic model and real data set demonstrate that the proposed algorithm performs well. Moreover finding shows that PSO algorithm is powerful, fast and easy for inversion of active surface waves data.