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
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