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应用人工免疫算法快速规划3DTF/TA^2航线
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Journal Article
应用人工免疫算法快速规划3DTF/TA^2航线
2015
Overview
针对复杂环境下单（双）机TF/TA^2 飞行路径规划问题,提出了满足飞机可飞性和可操作性的人工免疫算法飞行航线规划方法;设计了综合3D 威胁信息的惩罚函数（亲和力函数）;构建了包含动态、静态威胁及不可飞区域的综合威胁模型.据此,设计了不同威胁度环境下的单、双飞行航线,并将人工免疫算法规划的航线与遗传算法进行比较.结果表明,在简单威胁环境下,遗传算法规划时间短、路径较长;在复杂环境下,遗传算法的单机规划失败率极高（大于95%）,双机规划失败.人工免疫算法能够为单（双）机规划出一条最优及多条待选飞行航线.
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