Title of article :
Algorithm for Low Altitude Penetration Aircraft Path Planning with Improved Ant Colony Algorithm
Author/Authors :
YE، نويسنده , , Wen and MA، نويسنده , , Deng-wu and FAN، نويسنده , , Hong-da، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
6
From page :
304
To page :
309
Abstract :
The ant colony algorithm is a new class of population basic algorithm. The path planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the path planning. In the paper the traditional ant colony algorithm is improved, and measures of keeping optimization, adaptively selecting and adaptively adjusting are applied, by which better path at higher convergence speed can be found. Finally the algorithm is implemented with computer simulation and preferable results are obtained.
Keywords :
keeping optimization , ant colony algorit hm , adaptively adjusting , low altitude penetration , path planning
Journal title :
Chinese Journal of Aeronautics
Serial Year :
2005
Journal title :
Chinese Journal of Aeronautics
Record number :
2264546
Link To Document :
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