Wang, Z.Y. (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China) | Bai, W.L. (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China) | Liu, H. (Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China)
FD scheme is a multi-parameter optimization problem. Consequently, the global optimality cannot be always The finite-difference (FD) scheme is widely used to model guaranteed. Usually we follow the steps below to derive an acoustic and elastic wave propagation. However, the optimized FD scheme based on the optimization methods: numerical dispersion will affect the accuracy and efficiency first we formulate the objective function containing the FD of the modeling due to approximate the differential operator coefficients and set a margin of error, secondly using kinds with the difference operator. In this abstract, a new of optimization methods searching for the optimal solution optimized FD scheme is proposed based on the improved of FD coefficients within a certain range to achieve the particle swarm optimization (PSO) algorithm. We improve optimization of the FD scheme. The key of the optimization the PSO algorithm by introducing the strategies of local of the FD scheme based on the optimization methods is the learning and global learning. Then, the improved PSO selection of optimization methods and margin of error.