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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 04 Jun. 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)
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