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hydroMOPSO
View on CRAN: Click
here
Download and install hydroMOPSO package within the R console
Install from CRAN:
install.packages("hydroMOPSO")
Install from Github:
library("remotes")
install_github("cran/hydroMOPSO")
Install by package version:
library("remotes")
install_version("hydroMOPSO", "0.1-3")
Attach the package and use:
library("hydroMOPSO")
Maintained by
Rodrigo Marinao-Rivas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2023-04-25
Latest Update: 2023-10-16
Description:
State-of-the-art Multi-Objective Particle Swarm Optimiser (MOPSO), based on the algorithm developed by Lin et al. (2018) with improvements described by Marinao-Rivas & Zambrano-Bigiarini (2020) . This package is inspired by and closely follows the philosophy of the single objective 'hydroPSO' R package ((Zambrano-Bigiarini & Rojas, 2013) ), 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.
How to cite:
Rodrigo Marinao-Rivas (2023). hydroMOPSO: Multi-Objective Calibration of Hydrological Models using MOPSO. R package version 0.1-3, https://cran.r-project.org/web/packages/hydroMOPSO. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1-3 (2023-04-25 19:40)
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