hydroMOPSO: Multi-Objective Calibration of Hydrological Models using MOPSO
State-of-the-art Multi-Objective Particle Swarm Optimiser (MOPSO), based on the algorithm developed by Lin et al. (2018) <doi:10.1109/TEVC.2016.2631279> with improvements described by Marinao-Rivas & Zambrano-Bigiarini (2020) <doi:10.1109/LA-CCI48322.2021.9769844>. This package is inspired by and closely follows the philosophy of the single objective 'hydroPSO' R package ((Zambrano-Bigiarini & Rojas, 2013) <doi:10.1016/j.envsoft.2013.01.004>), and can be used for global optimisation of non-smooth and non-linear R functions and R-base models (e.g., 'TUWmodel', 'GR4J', 'GR6J'). However, the main focus of 'hydroMOPSO' is optimising environmental and other real-world models that need to be run from the system console (e.g., 'SWAT+'). 'hydroMOPSO' communicates with the model to be optimised through its input and output files, without requiring modifying its source code. Thanks to its flexible design and the availability of several fine-tuning options, 'hydroMOPSO' can tackle a wide range of multi-objective optimisation problems (e.g., multi-objective functions, multiple model variables, multiple periods). Finally, 'hydroMOPSO' is designed to run on multi-core machines or network clusters, to alleviate the computational burden of complex models with long execution time.
| Version: |
0.1-3 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
zoo, parallel, randtoolbox, lhs, hydroTSM, xts, methods |
| Suggests: |
knitr, rmarkdown, smoof, hydroGOF, airGR, TUWmodel |
| Published: |
2023-04-25 |
| Author: |
Rodrigo Marinao-Rivas [aut, cre, cph],
Mauricio Zambrano-Bigiarini
 [aut, ctb,
cph] |
| Maintainer: |
Rodrigo Marinao-Rivas <ra.marinao.rivas at gmail.com> |
| BugReports: |
https://gitlab.com/rmarinao/hydroMOPSO/-/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://gitlab.com/rmarinao/hydroMOPSO |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
hydroMOPSO results |
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