Differential Evolution Optimization in Pure R
Description
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) for single-objective
optimization and 'NCDE' by Qu et al. (2012)
for multimodal optimization (single-objective problems with
multiple solutions).