Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints

Evolutionary algorithm-based unmanned aerial vehicle (UAV) path planners have been extensively studied for their effectiveness and flexibility. However, they still suffer from a drawback that the high-quality waypoints in previous candidate paths can hardly be exploited for further evolution, since...

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Vydané v:	IEEE transactions on robotics Ročník 31; číslo 5; s. 1130 - 1146
Hlavní autori:	Peng Yang, Ke Tang, Lozano, Jose A., Xianbin Cao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Evolutionary computation Missiles Path planning Planning Robotics Robots Shortest path algorithms Space missions Turning Unmanned aerial vehicles unmanned aerial vehicles (UAVs) unmanned aerial vehicles (UAVs) Evolutionary computation path planning
ISSN:	1552-3098, 1941-0468
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