Abstract:

Aiming at the formation problem of manned/unmanned aerial vehicle task coalition, a phased-forming method is proposed including task clustering and platform matching. Firstly, definition of major elements is given and relevant mathematical description is made. Secondly, based on the analysis of the problem, the mathematical model of task clustering is established by taking the minimum sum of distance as the optimal objective, and then the mathematical model of platform matching is established by taking minimum command and decision-making cost as well as resource cost as the optimal objective. Thirdly, a novel greedy clustering algorithm with optimized initial cluster centers and a novel multi-objective fuzzy artificial bee colony algorithm are adopted respectively to solve task clustering and platform matching. Finally, three sets of simulation experiments are carried out to prove the effectiveness and superiority of the method.