DocumentCode
3276199
Title
Path planning based on immune genetic algorithm for UAV
Author
Cheng, Ze ; Sun, Ying ; Liu, Yanli
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2011
fDate
15-17 April 2011
Firstpage
590
Lastpage
593
Abstract
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.
Keywords
aircraft control; genetic algorithms; mobile robots; path planning; remotely operated vehicles; IGA; UAV; concentration mechanism; immune genetic algorithm; immune operator; path planning; unmanned aerial vehicle; Convergence; Encoding; Euclidean distance; Genetic algorithms; Genetics; Immune system; Path planning; IGA; UAV; path planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777407
Filename
5777407
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