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Path planning based on immune genetic algorithm for UAV

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3 Author(s)
Ze Cheng ; School of Electrical Engineering and Automation, Tianjin University, China ; Ying Sun ; Yanli Liu

A novel approach of path planning for unmanned aerial vehicle (UAV) is presented based on immune genetic algorithm (IGA) with elitist. IGA introduces immune operator and concentration mechanism which improve the inherent defects of premature and slow convergence speed existing in genetic algorithm (GA). Simulation results show that an ideal flight path can be more quickly searched using IGA, under conditions of meeting the requirements for UAV and the given constraints. Correctness and effectiveness of IGA are verified.

Published in:

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Date of Conference:

15-17 April 2011