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《Electronics Optics & Control》 2007-06
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On path planning for UAVs based on adaptive ant system algorithm

REN Bo, YU Lei, HAN Li-xun (Engineering Institute,Air Force Engineering University, Xi'an 710038,China)  
To improve the efficiency of UAVs in combat mission,a highly effective flight path must be worked out ahead of taking the mission.A path planning scheme for UAVs based on Ant-Q System is studied in the paper,which seems quite promising for the path planning problem.We present a threat model on the basis of real terrain data and fire threats.Since stagnation may appear during searching in use of traditional ant colonies algorithm,we put forward an adaptive Ant-Q system algorithm for solving the problem.We give a simulation example in Fig.3 and Fig.4 to show that the method has some good characteristics and is effective in the path planning.
【Fund】: 优秀博士学位论文创新基金项目(BC06003);; 军队重点科研基金资助项目(HX05205)
【CateGory Index】: V279
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