Abstract:

Target attack decisionmaking for cooperating multiple unmanned combat aerial vehicle (multiUCAV) is discussed to solve the problem of attacking multitarget. Models of target damage, UCAV attritions and timing cooperation are formulated. And these models are translated into a single target function and then proceed to singletarget optimization problem. 〖JP2〗A new discrete particle swarm optimization (DPSO) algorithm is proposed, and particles’ position, speed and relative operations are newly defined within a framework of the particle swarm optimization (PSO) algorithm. A mapping rule is established between particles and the problem so as to make DPSO algorithm suitable for target attack decisionmaking. The simulation results show that the algorithm is simple and could effectively solve the problem of target attack decisionmaking for multiUCAV based on timing cooperation.