Improvement Of Firefly Algorithm And Optimization Of Washing Out On Moving Platform

The birth of firefly algorithm is the simulation of fireflies group activities in the nature and to simplify,this algorithm is a novel bionic swarm intelligence algorithm.In this algorithm,the firefly with low brightness will be attracted by the firefly with high brightness to move constantly,so that the whole firefly group will continue to move to better individuals,thus completing the optimization process.It is simple in concept,it is necessary to adjust the parameters of the less,the advantages of easy to implement.This paper mainly studies the standard of firefly algorithm,analyzing the imperfection of the algorithm,to construct a improved firefly algorithm,and experimental verification of the improved algorithm,and used the algorithm to wash out the parameter optimization of the algorithm.Firstly,this paper makes a careful analysis of the standard firefly algorithm,and expounds the bionics principle,thinking mechanism,mathematical description and operation process of the algorithm in detail.An improved firefly algorithm is proposed by introducing the inverted s-type function into the position update formula and combining the extremum dynamics algorithm in the algorithm.The simulation results show that the improved firefly algorithm can effectively balance the conflict between global search and local search.And effectively improve the convergence speed and optimization precision of the original algorithm.Then,the parameter analysis of the algorithm shows that the parameters of the filter have a great influence on the result of the algorithm.Therefore,the objective function was established by human sensory error,and the improved firefly algorithm was used for parameter optimization.After setting the optimization conditions in MATLAB,the optimization results were quickly obtained.Finally,to verify the practicability of the improved firefly algorithm.Build a developed algorithm structure and application of the optimized parameters for simulation results in MATLAB SIMULINK module.At the same time with the standard of firefly algorithm and genetic algorithm to optimize the parameters of the comparison test and verify.Simulation experimental results show that the improved firefly algorithm in solving the motion platform to wash out the algorithm parameters optimization problem better than other two algorithms.Improved algorithm could be applied to the well on such problems.