任务分配是多UCAV协同控制的核心和有效保证，是一类复杂的多目标优化问题。针对一种扩展的混合整数线性规划（MILP）任务分配模型，通过对模型特点的分析，提出一种基于相似度的遗传退火算法解决该问题并进行仿真实验，仿真结果表明该算法具有较强的收敛性和较好的多样性，验证了改进算法解决该问题模型的有效性。%Task allocation is the core of the multiple Unmanned Combat Aerial Vehicle(UCAV) coordination control and the effecttive guarantee.It is a completed multi-objective optimization problem. Based on an extension of mixed integer line-ar programming(MILP)model of the task assignment,through the analysis of the characteristics of the model,the paper puts forward a genetic-anneal ing algorithm based on similarity is applied tosolve the problem and the simulation exper-iment. The simulation results show that the algorithm has strong convergence and better diversity,verify the effectiveness of the improved algorithm to solve the problem model.
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