Study of multiple air vehicles and multiple-mission route planning in virtual battlefield

This paper proposes to realize the multiple air vehicle cooperative initial route planning and the renewal of the threat degree replanning ability for smart air vehicle. For the threat in part of the battlefield the air vehicle had foreseen, we made the sparse roadmap based on the delineation of different kinds of threat degree and search the initial route through genetic algorithm. To ensure the diversity of initial population of genetic algorithm, we have produced the strategy by using equal distribution in gene space and optimized the randomly generated initial population. In the course of executing the battlefield planning, we made a fine roadmap and replanned real-time route. The example of combat simulation has validated that the design is feasible and reasonable.