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: 2.2-6
Depends: parallel
Suggests: foreach, iterators, colorspace, lattice
Published: 2021-05-05
Author: David Ardia ORCID iD [aut], Katharine Mullen [aut, cre], Brian Peterson [aut], Joshua Ulrich [aut], Kris Boudt [ctb]
Maintainer: Katharine Mullen <mullenkate at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: DEoptim citation info
Materials: README NEWS
In views: Optimization
CRAN checks: DEoptim results


Reference manual: DEoptim.pdf


Package source: DEoptim_2.2-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): DEoptim_2.2-6.tgz, r-oldrel (arm64): DEoptim_2.2-6.tgz, r-release (x86_64): DEoptim_2.2-6.tgz, r-oldrel (x86_64): DEoptim_2.2-6.tgz
Old sources: DEoptim archive

Reverse dependencies:

Reverse depends: EcoHydRology, EstimationTools, galts, micEconCES, nmm, quickpsy, selectMeta, spsh
Reverse imports: BBEST, carfima, CEGO, ConsReg, DMCfun, DstarM, fungible, FuzzyStatProb, IDE, KSPM, Luminescence, mrf, phenex, prodest, Riemann, ROI.plugin.deoptim, rrscale, SPOT, svars, trawl
Reverse suggests: airGR, BayesianTools, BENMMI, ctsem, MSCMT, nanop, openEBGM, PortfolioAnalytics, RcppDE, SACOBRA,, swmmr


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