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DEoptim: Global Optimization by Differential Evolution

Implements the Differential Evolution algorithm for global optimization of a real-valued function of a real-valued parameter vector as described in Mullen et al. (2011) <doi:10.18637/jss.v040.i06>.

Version: 2.2-8
Depends: parallel
Imports: methods
Suggests: foreach, iterators, colorspace, lattice, parallelly
Published: 2022-11-11
Author: David Ardia ORCID iD [aut], Katharine Mullen [aut, cre], Brian Peterson [aut], Joshua Ulrich [aut], Kris Boudt [ctb]
Maintainer: Katharine Mullen <mullenkate at gmail.com>
BugReports: https://github.com/ArdiaD/DEoptim/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ArdiaD/DEoptim
NeedsCompilation: yes
Citation: DEoptim citation info
Materials: README NEWS
In views: Optimization
CRAN checks: DEoptim results

Documentation:

Reference manual: DEoptim.pdf

Downloads:

Package source: DEoptim_2.2-8.tar.gz
Windows binaries: r-devel: DEoptim_2.2-8.zip, r-release: DEoptim_2.2-8.zip, r-oldrel: DEoptim_2.2-8.zip
macOS binaries: r-release (arm64): DEoptim_2.2-8.tgz, r-oldrel (arm64): DEoptim_2.2-8.tgz, r-release (x86_64): DEoptim_2.2-8.tgz, r-oldrel (x86_64): DEoptim_2.2-8.tgz
Old sources: DEoptim archive

Reverse dependencies:

Reverse depends: bgev, DMQ, EstimationTools, galts, micEconCES, quickpsy, selectMeta, spsh
Reverse imports: BBEST, calibrar, carfima, CEGO, ConsReg, DDD, DMCfun, DstarM, fungible, FuzzyStatProb, IDE, KSPM, Luminescence, mrf, OSLdecomposition, phenex, prodest, Riemann, ROI.plugin.deoptim, rrscale, svars, TOU, trawl
Reverse suggests: airGR, BayesianTools, BENMMI, ctsem, MSCMT, npsp, openEBGM, PortfolioAnalytics, RcppDE, SpaDES.tools

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DEoptim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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