A self-adaptive hybridized differential evolution naked mole-rat algorithm for engineering optimization problems

This paper presents a self-adaptive hybrid variant of differential evolution (DE) algorithm and naked mole-rat algorithm (NMRA), namely SaDN. The algorithm is altogether a new version, designed to overcome the local optima stagnation and poor exploration properties of DE and NMRA respectively. The new algorithm has been designed by incorporating DE into the worker phase of NMRA while keeping all the major parameters of both the algorithms...