ABSTRACT
Above works can help to enhance the search ability and performance of DE, but there still remains research room to improve it and we find that all of these researches are performed by using binomial crossover. Hence, this paper tries to use
1 INTRODUCTION
In recent years, Differential Evolution (DE) has been demonstrated to be one of the most excellent evolutionary algorithms [1-3], which is simple to implement and convergent speed is quite fast. However, the faster convergence may also lead to a higher probability of trapping in local minimum because the diversity of population descends quickly during evolution. Therefore, many variants of DE were proposed to enhance its performance by self-adaptively controlling the strategies and parameters.
