No description, website, or topics provided.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.
R ENH: refined progress plots Aug 14, 2018
man - computationally irrelevant: added ... for additional arguments to o… Nov 17, 2016
NAMESPACE computationally irrelevant: major code cleansing and streamlining; cl… Dec 13, 2012
ppso.Rproj - computationally irrelevant: additional argument for *DDS to control… Apr 14, 2015 ENH: improved error messaging Jul 10, 2018

R-package ppso: Particle Swarm Optimization and Dynamically Dimensioned Search, optionally using parallel computing based on Rmpi

This is a replacement of the repository formerly maintained at (version 0.9994)


(Optionally parallelized) optimization using PSO (Particle Swarm Optimzation) or DDS (Dynamically Dimensioned Search) algorithms, which excell for multidimensional (multi-parameter) functions with many local extrema and a restricted number of function evaluations. The parallelized version builds on Rmpi and is intended for highly computationally intensive objective functions (>20 s evaluation time). Another focus of this package is the possibility to resume interrupted optimization runs from the intermediate project files. These features make this package useful for the automatic calibration of complex numerical models (e.g. hydrological models).

For bug fixes, comments or further development please open an issue here at github.


  1. Start R
  2. install package devtools and load it: library(devtools)
  3. Install package ppso via devtools: devtools::install_github("TillF/ppso")
  4. load package: library(ppso);


basic functionality: no further dependencies; optionally R-packages rgl, lhs

for installation only

  • R-packages: devtools
  • system libraries for devtools in debian install using: apt-get update && apt-get install libssl-dev; in Windows may require RTools (I don't quite remember)

in parallel mode (for computationally-demanding functions, e.g. model calibration)