Adaptive Differential Evolution Based on New Mutation Strategy

In this paper, an adaptive differential evolution (DE) algorithm based on new mutation strategy is proposed to solve optimization problems. The proposed approach is called ANMDE which employs a self-adjust control parameter mechanism and a new mutation strategy. In order to verify the performance of ANMDE, several well-known benchmark functions are selected in the experiments. Simulation results show that our approach outperforms standard DE and two other improved DE variant.