Geophysical Inversion Theory and Global Optimization Methods

·
· Scientific Research Publishing, Inc. USA
eBook
200
Pages
Eligible

About this eBook

Geophysical inversion is an ill-posed problem. Classical local search method for inversion is depend on initial guess and easy to be trapped in local optimum. The global optimization is a group of novel methods to deal with the problems mentioned above.

The book introduces the geophysical inversion theory, including the classical solving approaches firstly. Then, it introduces several typical global inversion approaches including particle swarm optimization (PSO), differential evolution (DE), and multiobjective optimization methods, as well as some examples to inverse the geophysical data, such as gravity, MT sounding, well logging, self-potential, seismic data, using these global optimization approaches.

About the author

Caiyun Liu received her B.S. degree of Applied Mathematics from Huazhong University of Science and Engineering, China, in 1998; M.S. degree of Applied Mathematics from Yangtze University, China, in 2008; and Ph.D. degree of Geophysics from China University of Geosciences, China, in 2014. From January 2016 to December 2016, she was a visiting professor of the Center for Computational Sciences at Mississippi State University, MS, USA. She is currently an associate professor in the School of Information and Mathematics, Yangtze University, China. Her research interests include geophysics, wavelet analysis, and artificial intelligence.

Jie Xiong received his B.S degree of Computer science and Telecommunication from Chongqing University of Post and Telecommunication, China, in 1998; M.S. degree of Computer Science and Application from Yangtze University, China, in 2005; and Ph.D. degree of Geophysics from China University of Geosciences, China, in 2012. From January 2016 to December 2016, he was a visiting professor of the Department of Computer Science and Engineering at Mississippi State University, MS, USA. He is currently an associate professor in the School of Electronics and Information, Yangtze University, China. His research interests include geophysics, cloud computing and big data analysis, and artificial intelligence.

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