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Path planning for autonomous UAV via vibrational genetic algorithm

Y. Volkan Pehlivanoglu (Aeronautics and Space Technologies Institute, Turkish Air Force Academy, Istanbul, Turkey)
Oktay Baysal (Frank Batten College of Engineering and Technology, Old Dominion University, Norfolk, Virginia, USA)
Abdurrahman Hacioglu (Department of Aeronautical Engineering, Turkish Air Force Academy, Istanbul, Turkey)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 10 July 2007

1614

Abstract

Purpose

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It is aimed to provide an efficient algorithm for path planning in guidance of autonomous unmanned aerial vehicle (UAV) through 3D terrain environments.

Design/methodology/approach

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As a stochastic search method, vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning.

Findings

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Using VGA, an efficient path planning algorithm for autonomous UAV was obtained under low population rate and short generation cycle conditions.

Originality/value

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VGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of VGA.

Keywords

Citation

Volkan Pehlivanoglu, Y., Baysal, O. and Hacioglu, A. (2007), "Path planning for autonomous UAV via vibrational genetic algorithm", Aircraft Engineering and Aerospace Technology, Vol. 79 No. 4, pp. 352-359. https://doi.org/10.1108/00022660710758222

Publisher

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Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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