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Vibrational Genetic Algorithm Based Path Planner for Autonomous UAV in Spatial Data Based Environments

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2 Author(s)
Pehlivanoglu, Y.V. ; Air Logistic Command, Ankara ; Hacioglu, A.

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.

Published in:

Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on

Date of Conference:

14-16 June 2007