DEoptimR (1.1-4)

Published 2026-02-24 13:47:01 +00:00 by atheaadmin

Installation

options("repos" = c(getOption("repos"), c(gitea="")))
install.packages("DEoptimR")

About this package

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).Differential Evolution Optimization in Pure R

Dependencies

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Details
CRAN
2026-02-24 13:47:01 +00:00
0
GPL (>= 2)
Eduardo L. T. Conceicao
Martin Maechler
19 KiB
Assets (1)
Versions (1) View all
1.1-4 2026-02-24