To further improve the convergence speed and optimizing precision for the basic fruit fly optimization algorithm

a fruit fly optimization algorithm with chaotic dynamic step factor is proposed by combining chaos optimization with iterative step dynamic regulation strategy. The algorithm can make the basic fruit fly optimization algorithm realize the continuous dynamic updating by introducing the dynamic step regulation factor in the optimization process. The chaotic optimization method is used to map the chaotic variables and the optimized variables

and the chaotic disturbance is introduced to make the individual of the fruit fly jump out of the local optimum quickly. Experimental results show that the convergence speed and optimization precision of the algorithm are greatly improved.