Abstract
Unmanned aerial vehicle (UAV) mission planning generally suffers from the influence of the uncertainty in the battlefield environment. This paper considers two practical objectives for mission planning, mission value and survivability. Firstly, the effects of Information loss, enemy weapon deployment and environment factor are regarded as independent uncertain variables. Secondly, an uncertain multiobjective UAV mission planning model is established based on uncertainty theory. Then, it becomes tractable by combining the weighted sum method with expected value principle. Finally, the bat algorithm is modified for discrete optimization situation in the paper. The results indicate that the proposed model and algorithm have excellent efficiency in solving the uncertain UAV mission planning problem.
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