The "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" algorithm by Tolson & Shoemaker 2007, looks like a good candidate for spotpy - especially for cases where a small number of model evaluation is more important than parameter precision. The paper compares SCE-UA with their new DDS algorithm and this comparison has been challanged in a commentary to that paper Behrangi et al. 2008 - however the commentary agrees on a faster yet not that exact convergance of the algorithm.
The "Dynamically dimensioned search algorithm for computationally efficient watershed model calibration" algorithm by Tolson & Shoemaker 2007, looks like a good candidate for spotpy - especially for cases where a small number of model evaluation is more important than parameter precision. The paper compares SCE-UA with their new DDS algorithm and this comparison has been challanged in a commentary to that paper Behrangi et al. 2008 - however the commentary agrees on a faster yet not that exact convergance of the algorithm.
Implementation in R is available on GitHub: https://github.com/bdb67/Dynamically-Dimensioned-Search