2010-03-16 – SEMINAR by KB Boomer: Probability, Evolution, and Geophysics: Stochastic Velocity Modeling via Genetic Algorithms
16 March, 2010 (11:15 GMT), 5 Merrion Square, Dublin 2.
Speaker: KB Boomer, Bucknell University, Pennsylvania, USA.
Title: Probability, Evolution, and Geophysics: Stochastic Velocity Modeling via Genetic Algorithms.
From a statistical view point, geophysical parameters are interpreted as random variables. For example, arrival times for P and S waves have a random component, attributed to sources such as distant-dependent measurement error, human error in picking arrival phases, and random noise attributed to travel path. Stochastic modeling of such phenomenon quantifies these random processes. Genetic algorithms are iterative stochastic models that evaluate progressively improved mathematical models. In this talk, I will provide a background on how genetic algorithms in general, and the Nondominated
Sorting Genetic Algorithm (NSGA-II) in particular, model the velocity structure, with specific reference to the BOSA station on the Kaapvaal Craton in Southern Africa.