Research on cluster attack mission planning of multi USVs based on DAM-BBOPSO algorithm

The rapid development of modern defense technology decreased the USVs´ attacking effect greatly, autonomous formation cluster attack techniques of USVs has became one of the key technologies of future naval warfare, mission planning among USVs is the key for them to complete tasks smoothly and efficiently. Regarding the cluster attack mission planning problem as multi-constrained task allocation process, building mission planning model, and improve particle initialization and optimization process combined with distributed auction mechanism(DAM) and Biogeography-Based Optimization algorithm(BBO). Simulation result indicates that the program achieved with distributed auction mechanism particle swarm optimization could fully meet the requirements of USVs´ cluster attack missions, and shows better convergence compared with traditional particle swarm optimization(PSO) and other swarm intelligence algorithms.