Combat Effectiveness Based Path Planning for Unmanned Air Vehicles
Zhili Tang · Electronics Optics & Control · 2009
Considering both the target allocation and the whole path planning process,a path planning scheme for Unmanned Air Vehicles(UAV) is put forward based on combat effectiveness.In path planning layer,variable-length chromosomes genetic algorithm is used to choose the initial path.In cooperative planning layer,the combat effectiveness is taken as the index and genetic particle swarm optimization algorithm is used in task allocation for obtaining an optional path set.Then,cooperative algorithm is used in the path set for finding the path satisfying all the requirements.Results of simulation demonstrate that this method can be used for single aircraft and multi-aircraft path planning,and can modify the path according to the changing of the threat and target while keeping high attacking efficiency.