For multi-mission assignment in cooperated air combat of Manned Aerial Vehicle (MAV) and multi-UAV of centralized structure, the threat is divided into two classes according to inherent attribute and dynamic attribute. Hierarchical structure model and dominant function model were established for threat coefficients separately. Three efficient indexes were proposed according to different air combat situation, and the corresponding cost functions were built up. Discrete Particle Swarm Optimization (DPSO) was used to make numerical simulation for the three cost functions. The simulation result showed that the arithmetic is good in convergence and is appropriate for the multi-mission assignment for cooperated air combat of MAV and multi-UAV.%针对集中式体系结构下的有人机-无人机群协同空战多目标分配问题,把目标威胁分为固有属性和动态属性两部分,分别建立了目标威胁系数层次结构模型和优势函数模型；根据空战态势的不同,提出了3种效率指标,建立了相应的代价函数；针对3种代价函数,运用离散粒子群算法进行了数值仿真研究,仿真结果表明所用的算法具有良好的收敛性,适合解算文中所建立的有人机-无人机群协同空战多目标分配模型.
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