DEoptimR

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).