1887

Abstract

Summary

This work presents the use of the Multi-Objective version of the Particle Swarm Optimization algorithm to simultaneously optimize different geophysical data sets. The method was applied to two field data sets of Vertical Electrical Sounding and Time-Domain Electromagnetic data, thus dealing with the minimization of two objective functions. The exploration and exploitation of the parameter search space were balanced by iteratively changing the key coefficients of the algorithm: the inertia weight, the accelerations and mutation operator. The best solution was selected by applying the concept of Pareto optimality to the two objectives. The Occam-like approach was successful in yielding a smooth resistivity model, highly comparable to the results of previous research.

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/content/papers/10.3997/2214-4609.201802624
2018-09-09
2024-04-19
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References

  1. Coello Coello, C.A., Pulido, G.T. and Lechuga, M.S.
    [2004] Handling Multiple Objectives with Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, 8(3), 256–279.
    [Google Scholar]
  2. Constable, S.C., Parker, R.L. and Constable, C.G.
    [1987] Occam’s inversion: A practical algorithm for generating smooth models from electromagnetic sounding data. Geophysics, 52(3), 289–300.
    [Google Scholar]
  3. Dal Moro, G. and Pipan, M.
    [2007] Joint inversion of surface wave dispersion curves and reflection travel times via multi-objective evolutionary algorithms. Journal of Applied Geophysics, 61, 56–81.
    [Google Scholar]
  4. Fernández Martínez, J. L., García Gonzalo, E. and Naudet, V.
    [2010] Particle swarm optimization applied to solving and appraising the streaming-potential inverse problem. Geophysics, 75(4), WA3–WA15.
    [Google Scholar]
  5. Godio, A. and Santilano, A.
    [2018] On the optimization of electromagnetic geophysical data: Application of the PSO algorithm. Journal of Applied Geophysics, 148, 163–174.
    [Google Scholar]
  6. Ingeman-Nielsen, T. and Baumgartner, F.
    [2006] CR1Dmod: A Matlab program to model 1D complex resistivity effects in electrical and electromagnetic surveys. Computers & Geosciences, 32, 1411–1419.
    [Google Scholar]
  7. Kennedy, J. and Eberhart, R.
    [1995] Particle Swarm Optimization. 24th European Meeting of Environmental and Engineering Geophysics, IV, 1942–1948.
    [Google Scholar]
  8. Paasche, H. and Tronicke, L.
    [2014] Nonlinear joint inversion of tomographic data using swarm intelligence. Geophysics, 79(4), R133–R149.
    [Google Scholar]
  9. Pace, F., Santilano, A. and Godio, A.
    [2017] Particle Swarm Optimization of Electromagnetic Data with Parallel Computing in the 2D Case. 24th European Meeting of Environmental and Engineering Geophysics, Extended Abstracts, Tu23B04. DOI: 10.3997/2214‑4609.201702021
    https://doi.org/10.3997/2214-4609.201702021 [Google Scholar]
  10. Pareto, V.
    [1886] Cours d’economie politique, vols. I and II. F. Rouge, Lausanne.
    [Google Scholar]
  11. Piatti, C., Boiero, D., Godio, A. and Socco, L.V.
    [2010] Improved Monte Carlo 1D inversion of vertical electrical sounding and time-domain electromagnetic data. Near Surface Geophysics, 8, 117–133.
    [Google Scholar]
  12. Santilano, A., Godio, A. and Manzella, A.
    [2018] Particle swarm optimization for simultaneous analysis of Magnetotelluric (MT) and Time Domain EM (TDEM) data. Geophysics, 83(3), E151–E159.
    [Google Scholar]
  13. Schnaidt, S., Conway, D., Krieger, L. and Heinson, G.
    [2018] Pareto-Optimal Multi-Objective Inversion of Geophysical Data. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-018-1784-2
    [Google Scholar]
  14. Tripathi, P.K., Bandyopadhyay, S. and Pal, S.K.
    [2007] Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients. Information Sciences, 177, 5033–5049.
    [Google Scholar]
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