The joint application of a metaheuristic algorithm and a Bayesian statistics approach for uncertainty and stability assessment of nonlinear magnetotelluric data
Ai, H., Essa, K. S., Ekinci, Y. L., Balkaya, Ç., Li, H., and Géraud, Y.: Magnetic anomaly inversion through the novel barnacles mating optimization algorithm, Sci. Rep., 12, 22578, https://doi.org/10.1038/s41598-022-26265-0, 2022.
Cagniard, L.: Basic theory of the magneto-telluric method of geophysical prospecting, Geophysics, 18, 605—635, https://doi.org/10.1190/1.1437915, 1953.
Colorni, A., Dorigo, M., and Maniezzo, V.: Distributed Optimization by Ant Colonies, Proceedings of the First European Conference on Artificial Life, Paris, France, 134–142 pp., 1991.
Constable, S. C., Parker, R. L., and Constable, C. G.: Occam's inversion: A practical algorithm for generating smooth models from electromagnetic sounding data, Geophysics, 52, 289–300, https://doi.org/10.1190/1.1442303, 1987.
Dawes, G. J. K.: Magnetotelluric feasibility study: Island of Milos, Greece, Luxembourg, Edinburgh Univ. (UK). Dept. of Geophysics, Luxembourg, Report Number EUR-10674, Reference Number: ERA-13-007410, EDB-88-008365, 1986.