A CEC-2017 benchmark study claims DE-based hybrid optimizers remain robust under translation, scaling, rotation, and additive shifts, but the reported data are internally inconsistent and contain duplicated rows.
Abualigah and et al.Hybrid Harris hawks optimization with differential evolu- tion for data clustering, Metaheuristics in machine learning: theory and applications
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Robustness and Invariance of Hybrid Metaheuristics under Objective Function Transformations
A CEC-2017 benchmark study claims DE-based hybrid optimizers remain robust under translation, scaling, rotation, and additive shifts, but the reported data are internally inconsistent and contain duplicated rows.