SEISMIC INVERSION AND NON-LINEAR STOCHASTIC OPTIMISTIC ALGORITHMS
Cheng Yin · Computing Techniques For Giophysical and Geochenical Exploration · 2001
Seismic inversion problems must be solved by non linear global optimization methods. In recent years, some non linear stochastic optimistic algorithms are developed by biology, physics, artificial intelligence and nonlinear science, such as Genetic algorithm, Simulated annealing, Tabu searching and Chaos searching et al. In this paper, the principles and characteristics of four stochastic optimistic algorithms are summarized, and their performances are analyzed and compared on the applications of seismic inversion problems.