Other packages > Find by keyword >

hydroPSO  

Particle Swarm Optimisation, with Focus on Environmental Models
View on CRAN: Click here


Download and install hydroPSO package within the R console
Install from CRAN:
install.packages("hydroPSO")

Install from Github:
library("remotes")
install_github("cran/hydroPSO")

Install by package version:
library("remotes")
install_version("hydroPSO", "0.5-1")



Attach the package and use:
library("hydroPSO")
Maintained by
Mauricio Zambrano-Bigiarini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-13
Latest Update:
Description:
State-of-the-art version of the Particle Swarm Optimisation (PSO) algorithm (SPSO-2011 and SPSO-2007 capable). hydroPSO can be used as a replacement of the 'optim' R function for (global) optimization of non-smooth and non-linear functions. However, the main focus of hydroPSO is the calibration of environmental and other real-world models that need to be executed from the system console. hydroPSO is model-independent, allowing the user to easily interface any computer simulation model with the calibration engine (PSO). hydroPSO communicates with the model through the model's own input and output files, without requiring access to the model's source code. Several PSO variants and controlling options are included to fine-tune the performance of the calibration engine to different calibration problems. An advanced sensitivity analysis function together with user-friendly plotting summaries facilitate the interpretation and assessment of the calibration results. hydroPSO is parallel-capable, to alleviate the computational burden of complex models with "long" execution time. Bugs reports/comments/questions are very welcomed (in English, Spanish or Italian). See Zambrano-Bigiarini and Rojas (2013) for more details.
How to cite:
Mauricio Zambrano-Bigiarini (2012). hydroPSO: Particle Swarm Optimisation, with Focus on Environmental Models. R package version 0.5-1, https://cran.r-project.org/web/packages/hydroPSO. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1-54-1 (2012-04-13 13:03), 0.1-55 (2012-05-11 15:08), 0.1-56 (2012-06-14 17:13), 0.1-57 (2012-06-29 12:46), 0.1-58 (2012-09-14 18:48), 0.2-0 (2012-11-29 19:26), 0.3-0 (2012-12-20 09:27), 0.3-1-1 (2013-05-10 16:38), 0.3-2 (2013-05-29 07:48), 0.3-3 (2013-06-06 14:05), 0.3-4 (2014-04-13 00:39), 0.4-1 (2018-06-12 22:29), 0.5-0 (2020-03-18 09:40), 0.5-1 (2020-04-29 07:10)
Other packages that cited hydroPSO R package
View hydroPSO citation profile
Other R packages that hydroPSO depends, imports, suggests or enhances
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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