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中文摘要：
为优化无人机监测任务分配和航行路径,以2009年我国应用军用侦察机和无人机监测雅安地震灾情为研究始点,通过采用多目标优化理论建立受航行时间、航程、地形和天候等限制约束条件的多目标模型,研究以编队规模最小、航程最短、威胁系数最小为整体目标函数的无人机监测问题。利用粒子群算法进行模拟仿真,得到第一波次紧急监测过程以及优化决策后第二波次监测过程中,无人机具体监测任务分配、航行路径、每个监测点的监测时间、总航程和最优飞行次数等结论。最后,通过对比分析提出相应的监测任务分配和航行路径优化建议。
英文摘要：
To optimize unmanned aerial vehicle monitoring mission allocation and path, the paper takes military reconnaissance aircraft and unmanned aerial vehicle monitoring Ya＇an Earthquake in 2009 as the research object, and studies un- manned aerial vehicle monitoring problem with overall objective function （ smallest formation scale, shortest voyage and minimum threat coefficient）by establishing multi-objectives model which is restricted by voyage time, range, terrain and weather with muhi-objectives optimization theory. Then, it obtains the result of monitoring mission allocation, voyage paths, measurement time of each monitoring point, total voyage and optimal flights with particle swarm algorithm in the process of first emergency monitor voyage and second optimized voyage. Finally, it proposes reasonable suggestions on re- sponding monitoring mission allocation and voyage path optimization.
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