Inverse Problem in the Theory of Surface Traveling Waves in Layered Media


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Abstract

The regularization method, in addition to efficiently resolving the issue with ill-posed problems in various applications, also substantially suppresses noise and error propagation. To achieve these goals, the article proposes a new “genetic algorithm” (GA) method, linked with Tikhonov’s regularization method (GA-TRM). The regular operator is introduced in the GA fitness functions to study the inverse problem of surface-wave dispersion. Experimental results have shown that, compared with the classical algorithm, the new algorithm improves inversion accuracy, reduces errors, and lowers inversion instability.

About the authors

Yang Jianxun

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Author for correspondence.
Email: jianxun841123@hotmail.com
Russian Federation, Moscow

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