CRAN/E | DEoptimR

DEoptimR

Differential Evolution Optimization in Pure R

Installation

About

Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) doi:10.1109/TEVC.2006.872133 for single-objective optimization and 'NCDE' by Qu et al. (2012) doi:10.1109/TEVC.2011.2161873 for multimodal optimization (single-objective problems with multiple solutions).

Key Metrics

Version 1.1-3
Published 2023-10-07 195 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DEoptimR results

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Maintainer

Maintainer

Eduardo L. T. Conceicao

mail@eduardoconceicao.org

Authors

Eduardo L. T. Conceicao

aut / cre

Martin Maechler

ctb

Material

NEWS
Reference manual
Package source

In Views

Optimization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DEoptimR archive

Imports

stats

Enhances

robustbase

Reverse Depends

RobustAFT

Reverse Imports

dtangle
OssaNMA
robustbase
ROI.plugin.deoptim

Reverse Suggests

ADMUR
cxr
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