Decision method of anti-jamming communication based on binary artificial bee colony algorithm

Abstract

To realize the autonomous adjustment function of the system parameters of the anti-jamming decision engine, a kind of swarm intelligence optimization algorithm- binary artificial bee colony (BABC) algorithm was used for reference. Decision method of communication anti- jamming based on binary artificial bee colony was proposed. In order to realize the autonomous choice of communication parameters, this algorithm conducted optimization through simulation of honey bees in the search area. Aiming at the deficiency of existing decision algorithm, reasonable settings on the objective function during anti-jamming decision process was made in this algorithm to make it more in line with the actual communication scenarios. The simulation results showed that the algorithm could achieve the optimal selection of the communication parameters, and could prevent the local optimum. Compared with the existing genetic algorithm (GA) and particle swarm optimization (PSO), the proposed algorithm has better convergence performance.