Multiple Mutation Strategy of Adaptive Differential Evolution Algorithm Research
Lei Zhang · International Core Journal of Engineering · 2021
In order to solve the problems of premature convergence and search stagnation in differential evolution algorithm, a multi-mutation strategy adaptive differential evolution (MSADE) algorithm was proposed. A multi-mutation strategy selection mechanism based on learning factors is used to select the Gaussian mutation strategy, DE/ Current-to-Best/1 and DE/Best/2 mutation strategy adaptively with the iteration of the algorithm, so as to ensure the rapid convergence of the algorithm while effectively jumping out of the local extreme point, and improve the optimization precision of the algorithm. The experimental results of six standard test functions show that the improved algorithm can effectively solve the problems of precocity and local optimum.