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• W2034381292 abstract "Surface wave dispersion analysis is widely used in geophysics to infer near-surface shear (S)-wave velocity profiles for a wide variety of applications. However, inversion of surface wave data is challenging for most local-search methods due to its high nonlinearity and to its multimodality. In this work, we proposed and implemented a new Rayleigh wave dispersion curve inversion scheme based on differential search algorithm (DSA), one of recently developed swarm intelligence-based algorithms. DSA is inspired from seasonal migration behavior of species of the living beings throughout the year for solving highly nonlinear, multivariable, and multimodal optimization problems. The proposed inverse procedure is applied to nonlinear inversion of fundamental-mode Rayleigh wave dispersion curves for near-surface S-wave velocity profiles. To evaluate calculation efficiency and stability of DSA, four noise-free and four noisy synthetic data sets are firstly inverted. Then, the performance of DSA is compared with that of genetic algorithms (GA) by two noise-free synthetic data sets. Finally, a real-world example from a waste disposal site in NE Italy is inverted to examine the applicability and robustness of the proposed approach on surface wave data. Furthermore, the performance of DSA is compared against that of GA by real data to further evaluate scores of the inverse procedure described here. Simulation results from both synthetic and actual field data demonstrate that differential search algorithm (DSA) applied to nonlinear inversion of surface wave data should be considered good not only in terms of the accuracy but also in terms of the convergence speed. The great advantages of DSA are that the algorithm is simple, robust and easy to implement. Also there are fewer control parameters to tune." @default.
• W2034381292 created "2016-06-24" @default.
• W2034381292 creator A5010135351 @default.
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• W2034381292 date "2014-12-01" @default.
• W2034381292 modified "2023-10-14" @default.
• W2034381292 title "An implementation of differential search algorithm (DSA) for inversion of surface wave data" @default.
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• W2034381292 cites W1967167763 @default.
• W2034381292 cites W1967652956 @default.
• W2034381292 cites W1971606233 @default.
• W2034381292 cites W1977217134 @default.
• W2034381292 cites W1980862556 @default.
• W2034381292 cites W1984077949 @default.
• W2034381292 cites W1985322490 @default.
• W2034381292 cites W1985377452 @default.
• W2034381292 cites W1989955959 @default.
• W2034381292 cites W1991224261 @default.
• W2034381292 cites W1992489205 @default.
• W2034381292 cites W1992612699 @default.
• W2034381292 cites W1995228469 @default.
• W2034381292 cites W2007505044 @default.
• W2034381292 cites W2008732286 @default.
• W2034381292 cites W2008871129 @default.
• W2034381292 cites W2009825208 @default.
• W2034381292 cites W2012654940 @default.
• W2034381292 cites W2017196268 @default.
• W2034381292 cites W2019201005 @default.
• W2034381292 cites W2021872449 @default.
• W2034381292 cites W2022716693 @default.
• W2034381292 cites W2023193135 @default.
• W2034381292 cites W2023969535 @default.
• W2034381292 cites W2025003584 @default.
• W2034381292 cites W2025695778 @default.
• W2034381292 cites W2027381054 @default.
• W2034381292 cites W2029344578 @default.
• W2034381292 cites W2034739933 @default.
• W2034381292 cites W2035285388 @default.
• W2034381292 cites W2035377137 @default.
• W2034381292 cites W2036988450 @default.
• W2034381292 cites W2045677914 @default.
• W2034381292 cites W2045765306 @default.
• W2034381292 cites W2047319551 @default.
• W2034381292 cites W2047681034 @default.
• W2034381292 cites W2048044851 @default.
• W2034381292 cites W2048596977 @default.
• W2034381292 cites W2048879213 @default.
• W2034381292 cites W2049880740 @default.
• W2034381292 cites W2050620304 @default.
• W2034381292 cites W2058474279 @default.
• W2034381292 cites W2061062492 @default.
• W2034381292 cites W2065079216 @default.
• W2034381292 cites W2068108320 @default.
• W2034381292 cites W2075182751 @default.
• W2034381292 cites W2075460674 @default.
• W2034381292 cites W2088649414 @default.
• W2034381292 cites W2089569068 @default.
• W2034381292 cites W2091091226 @default.
• W2034381292 cites W2092848857 @default.
• W2034381292 cites W2097447039 @default.
• W2034381292 cites W2101444189 @default.
• W2034381292 cites W2106632637 @default.
• W2034381292 cites W2107074693 @default.
• W2034381292 cites W2108668074 @default.
• W2034381292 cites W2109717268 @default.
• W2034381292 cites W2110109727 @default.
• W2034381292 cites W2122095312 @default.
• W2034381292 cites W2124969907 @default.
• W2034381292 cites W2130801916 @default.
• W2034381292 cites W2131614295 @default.
• W2034381292 cites W2131934005 @default.
• W2034381292 cites W2133526188 @default.
• W2034381292 cites W2140408439 @default.
• W2034381292 cites W2140550236 @default.
• W2034381292 cites W2146795711 @default.
• W2034381292 cites W2152912428 @default.
• W2034381292 cites W2153991621 @default.
• W2034381292 cites W2159959584 @default.
• W2034381292 cites W2161814229 @default.
• W2034381292 cites W2163233710 @default.
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• W2034381292 doi "https://doi.org/10.1016/j.jappgeo.2014.10.017" @default.
• W2034381292 hasPublicationYear "2014" @default.
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