Title :
Vibrational Genetic Algorithm Based Path Planner for Autonomous UAV in Spatial Data Based Environments
Author :
Pehlivanoglu, Y. Volkan ; Hacioglu, Abdurrahman
Author_Institution :
Air Logistic Command, Ankara
Abstract :
Within this study, it is aimed to provide an efficient algorithm for path planning in guidance of autonomous Unmanned Aerial Vehicle (UAV) in spatial data based environments. For this purpose, as a stochastic search method, current vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning. From the results obtained, it is concluded that VGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of vibrational genetic algorithm.
Keywords :
genetic algorithms; path planning; remotely operated vehicles; stochastic processes; autonomous UAV; autonomous unmanned aerial vehicle; optimal path solution; path planner; path planning; spatial data based environments; stochastic search method; vibrational genetic algorithm; Genetic algorithms; Genetic mutations; Intelligent vehicles; Neural networks; Path planning; Remotely operated vehicles; Skeleton; Space exploration; Stochastic processes; Unmanned aerial vehicles; Path planning; UAV; VGA;
Conference_Titel :
Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1057-6
Electronic_ISBN :
1-4244-1057-6
DOI :
10.1109/RAST.2007.4284058
