Here we tested the performance of the PEM-SMC algorithm with an extremely sensitive environment: the Lorenz system. The PEM-SMC could successfully find the optimal parameters with the target function.
Please find the details in our published paper here:
Zhu, G., Li, X., Ma, J., Wang, Y., Liu, S., Huang, C., Zhang, K., and Hu, X. (2018). A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters. Advances in Water Resources 114, 164–179. Link
