Abstract:

To investigate the optimization problem of unmanned combat aerial vehicles’ (UCAV) cooperative mission assignment， the bilevel optimization theory is proposed to describe the problem. The goal of the upper level is to obtain the best strike effect， whereas the goal of the lower level is to guarantee the shortest fly path. Based on the real battle space considerations， the target is assigned a priority， upper and lower bound of service received， and opportunity window. A mix integer bilevel optimization model is then put forward. The intuitionistic fuzzy bilevel programming (IFBLP) theory is adopted to solve the proposed model. The IFBLP theory first transits the basic BLPP model into its intuitionistic fuzzy form， the interactive particle swarm optimization (PSO) solving method is used to solve the IFBLP. The example shows that the model can reflect real battlefield information. The solving method reachs the global result in a reasonable amount of time， and thus the model discussed in this paper provides useful reference to the UCAV commanders.