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A real-time task assignment scheme for multiple Unmanned Combat Aerial Vehicles (UCAV) operating in uncertain environment is proposed in this paper. Firstly, the situation in the uncertain environment and the uncertainty of the battlefield are analyzed. Then, a stochastic system model and a team utility Kfunction which take several indicators into account are established for multi-UCAV real-time task assignment in uncertain environments. A set of tasks are executed by the UCAV team cooperatively. Finally, the real-time task assignment is carried out with genetic algorithm. The simulation results demonstrate the effectiveness and suitability of the model.