DocumentCode
538872
Title
Chaos Genetic Algorithm for Aircraft Route Planning Problem
Author
Gao, Ye ; Zheng, Tao
Author_Institution
Coll. of Comput. Sci. & Technol., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Volume
1
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
280
Lastpage
284
Abstract
The paper discusses route planning issues of aircraft by Chaos Genetic Algorithm, emphases on planning its flight track of Chasing targets, at a low altitude. Firstly, the dynamic model of the aircraft is discreted in the low-altitude and complex environments, Secondly, according to the constraints, this paper develops modeling drawing on grid method in the 2D space after the 3D is divided into multiple 2D, Thirdly, chaos genetic algorithm is applied for the path optimization in the 2D space, Finally, the track search process to avoid obstacles is completed in the 3D space. About simulation, Creator and Vega are used as modeling tools to build the simulation platform. It´s proved that the algorithm can plan a flight path which meets the requirements effectively, and avoid the complexity of solving route planning problem in the 3D space by transforming 3D into 2D. Therefore, it improves the engineering practicability of the algorithm.
Keywords
aircraft; attitude control; chaos; collision avoidance; genetic algorithms; path planning; search problems; 2D space; Creator; Vega; aircraft route planning problem; chaos genetic algorithm; chasing targets; flight track; grid method; modeling drawing; obstacle avoidance; path optimization; track search process; Aircraft; Equations; Mathematical model; Optimization; Planning; Solid modeling; Three dimensional displays; Chaos Genetic Algorithm; Creator; Three-dimensional route planning; Vega;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.206
Filename
5708761
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