Path planning for autonomous UAV via vibrational genetic algorithm-Reference-Cited by-同舟云学术

Path planning for autonomous UAV via vibrational genetic algorithm

Published:2007-07-10 Issue:4 Volume:79 Page:352-359
ISSN:0002-2667
Container-title:Aircraft Engineering and Aerospace Technology
language:en
Short-container-title:

Author:

Volkan Pehlivanoglu Y.,Baysal Oktay,Hacioglu Abdurrahman

Abstract

PurposeIt is aimed to provide an efficient algorithm for path planning in guidance of autonomous unmanned aerial vehicle (UAV) through 3D terrain environments.Design/methodology/approachAs a stochastic search method, vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning.FindingsUsing VGA, an efficient path planning algorithm for autonomous UAV was obtained under low population rate and short generation cycle conditions.Originality/valueVGA decreased the required time for optimal path solution beside its simplicity. Low population rate and short generation cycle are the main benefits of VGA.

Publisher

Emerald

Reference16 articles.

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