Bee Swarm Simualtor GUI [PATCHED]
The finite-difference (FD) scheme is widely used to model acoustic and elastic wave propagation. However, the numerical dispersion will affect the accuracy and efficiency of the modeling due to approximate the differential operator with the difference operator. In this abstract, a new optimized FD scheme is proposed based on the improved particle swarm optimization (PSO) algorithm. We improve the PSO algorithm by introducing the strategies of local learning and global learning. Then, the improved PSO algorithm is used to obtain the optimized FD scheme. Dispersion analyses and numerical modeling demonstrate that the optimized FD scheme can suppress numerical dispersion more efficiently and achieves higher accuracy.
Bee Swarm Simualtor GUI
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