Empirical study of differential evolution

The parameters selection of differential evolution (DE) is studied by experiments on some benchmark examples. Then a simplified DE version (SDE) is realized with randomized scaling factor F based on the analysis for the features of DE, which not only reduces a parameter that need to is adjusted, but also is flexible for the selection of parameter CR. The experiments by comparing with genetic algorithm (GA) on some constrained numerical optimization problems show that SDE can get better results in much less evaluation times.