Computing Nonlinear $\tau$-Estimation Based on Dynamic Differential Evolution Strategy

A novel algorithm named NTDDE to compute the nonlinear tau-estimation based on the dynamic differential evolution strategy is proposed in this letter. We construct a new updating stage for this dynamic differential evolution strategy to generate a population with better performance than before. The experimental evidence has been gathered to show that the proposed algorithm is capable of computing the nonlinear tau-estimation efficiently