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A Computational Comparison of Memetic Differential Evolution Approaches

In this paper we make a detailed computational comparison between different variants of memetic DE approaches, including the two variants Greedy MDE (G-MDE) and Distance MDE (D-MDE), recently introduced in [Cabassi & Locatelli, 2015]. The computational comparison reveals that G-MDE is quite effective over single funnel functions, while D-MDE usually outperforms the other approaches over multifunnel landscapes.