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• W2317192591 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2010A comparative analysis of particle swarm optimization (PSO) and very fast simulated annealing (VFSA) inversion techniques for self‐potential (SP) anomaliesAuthors: Vishal DasArnab GhosalShalivahanBimalendu B. BhattacharyaVishal DasDepartment of Applied Geophysics, Indian School of MinesSearch for more papers by this author, Arnab GhosalDepartment of Applied Geophysics, Indian School of MinesSearch for more papers by this author, ShalivahanDepartment of Applied Geophysics, Indian School of MinesSearch for more papers by this author, and Bimalendu B. BhattacharyaS.N.Bose National Centre for Basic SciencesSearch for more papers by this authorhttps://doi.org/10.1190/1.3513201 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract This paper compares the particle swarm optimization (PSO) and very fast simulated annealing (VFSA), which are both non‐linear optimization techniques, results for self‐potential (SP) anomalies due to electrochemical nature. PSO is a simple global optimization strategy that simulates the social behavior observed in a flock (swarm) of birds searching for food. VFSA is based on the application of a non‐linear optimization algorithm. These two methods have been tested over several theoretical models and field data. The paper uses only one general equation for the inversion of SP anomalies due to vertical cylinder, horizontal cylinder and sphere. The comparison of the results over horizontal cylindrical and spherical targets and three field data from Turkey, India and Germany are presented in this paper. The results show that both PSO and VFSA inversion schemes give similar results. However, tuning a VFSA algorithm was difficult as compared to PSO. Further, PSO contains merit of both local and global search algorithms.Permalink: https://doi.org/10.1190/1.3513201FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2010ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2010 Pages: 4453 publication data© 2010 Copyright © 2010 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 21 Oct 2010 CITATION INFORMATION Vishal Das, Arnab Ghosal, Shalivahan, and Bimalendu B. Bhattacharya, (2010), A comparative analysis of particle swarm optimization (PSO) and very fast simulated annealing (VFSA) inversion techniques for self‐potential (SP) anomalies, SEG Technical Program Expanded Abstracts : 1845-1850. https://doi.org/10.1190/1.3513201 Plain-Language Summary PDF DownloadLoading ..." @default.
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