Optimal Formation Reconfiguration Control of Multiple UCAVs Using Improved Firefly Algorithm
Yue Guang Li, Jing Xing Fan · Applied Mechanics and Materials · 2013
Optimal formation reconfiguration control of multiple is a complicated global optimum problem. In this paper, according to the characteristics of Uninhabited Combat Air Vehicles. A Novel Firefly Algorithm was used to solve Uninhabited Combat Air Vehicles, the redesign of the individual location update in the algorithm, and introduced a Levy flight to increase the population search domain. In addition, a local search algorithm is introduced to enhance the local search ability in this paper. the algorithm was experimented and the experimental results show that the new algorithm to be successful in locating multiple solutions and better accuracy. Series experimental results demonstrate the feasibility and effectiveness of the proposed method in solving the optimal formation reconfiguration control problem for multiple UCAV.