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.

Version: 2.2-5
Depends: parallel
Suggests: foreach, iterators, colorspace, lattice
Published: 2020-02-23
Author: David Ardia [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
Vignettes: DEoptim: An R Package for Differential Evolution
Large scale portfolio optimization with DEoptim
Package source: DEoptim_2.2-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: DEoptim_2.2-5.tgz, r-oldrel: DEoptim_2.2-5.tgz
Old sources: DEoptim archive

Reverse dependencies:

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


Please use the canonical form to link to this page.