Unmanned vehicle path planning using a novel ant colony algorithm

The ant colony optimization algorithm is an effective way to solve the problem of unmanned vehicle path planning. First, establish the environment model of the unmanned vehicle path planning, process and describe the environmental information, and finally realize the division of the problem space. N...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 9
Hauptverfasser:	Yue, Longwang, Chen, Hanning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 28.05.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Ant colony algorithm Ant colony optimization Biomimetics Communications Engineering Distributed Big Data Processing in SCADA Communication Networks Engineering Environment models Grid method Information Systems Applications (incl.Internet) Networks Path planning Penalty strategy Product design Signal,Image and Speech Processing Unmanned vehicles Volatility Path planning Penalty strategy Grid method Ant colony algorithm
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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