May 26, 2018

Differential Evolution Optimization in Pure R

Differential Evolution DE stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art 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 only provides an implementation of the ‘jDE’ algorithm by Brest et al. 2006 <doi10.1109/TEVC.2006.872133>.

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