Research on Optimization and Application of Firefly Algorithm Based on Cloudsim

Abstract

Aiming at the phenomenon that firefly algorithm has premature convergence and easy to fall into local optimum, an optimized firefly algorithm is proposed by improving the range of the fluorescein value on the basis of firefly algorithm and greedy strategy in this paper. Through the Cloudsim simulation platform, it is found that the improved algorithm has a significant improvement in the search progress and performance, and can effectively prevent these defects that the convergence is too fast and the objective function value is easy to fall into the local optimum. Finally, the algorithm is applied to the optimization problem of the objective function, and the simulation results show that the improved algorithm has a certain degree of effectiveness.