Path planning for autonomous UAV via vibrational genetic algorithm

被引：54

作者：

Pehlivanoglu, Y. Volkan ^{[1
]}

Baysal, Oktay

Hacioglu, Abdurrahman

机构：

[1] Turkish Air Force Acad, Aeronaut & Space Technol Inst, Istanbul, Turkey

[2] Old Dominion Univ, Frank Batten Coll Engn & Technol, Norfolk, VA USA

[3] Turkish Air Force Acad, Dept Aeronaut Engn, Istanbul, Turkey

来源：

AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY | 2007年 / 79卷 / 04期

关键词：

aerospace engineering; programming; space vehicles; AIRFOIL DESIGN;

D O I：

10.1108/00022660710758222

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Purpose - 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 - As a stochastic search method, vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for path planning. Findings - Using VGA, an efficient path planning algorithm for autonomous UAV was obtained under low population rate and short generation cycle conditions. Originality/value - 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.

引用

页码：352 / 359

页数：8

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