Other packages > Find by keyword >

hydroMOPSO  

Multi-Objective Optimisation with Focus on Environmental Models
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", "0.1-14")



Attach the package and use:
library("hydroMOPSO")
Maintained by
Rodrigo Marinao-Rivas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-25
Latest Update: 2025-06-18
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 Optimisation with Focus on Environmental Models. R package version 0.1-14, https://cran.r-project.org/web/packages/hydroMOPSO. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 0.1-3 (2023-04-25 19:40)
Other packages that cited hydroMOPSO R package
View hydroMOPSO citation profile
Other R packages that hydroMOPSO depends, imports, suggests or enhances
Complete documentation for hydroMOPSO
Functions, R codes and Examples using the hydroMOPSO R package
Full hydroMOPSO package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  
mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA