Heterogeneous Multi UAV Mission Planning Based on Ant Colony Algorithm Powered BP Neural Network

With the development of modern science and technology, the field of UAV has also entered the era of high-tech exploration. Among them, the task planning, allocation, path exploration, and algorithm optimization of heterogeneous multi UAV technology are our main concerns. Based on the above situation...

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Veröffentlicht in:	Computational intelligence and neuroscience Jg. 2021; H. 1; S. 4369201
Hauptverfasser:	Tan, Wei, Hu, Yongjiang, Zhao, Yuefei, Li, Wenguang, Li, Yongke, Zhang, Xiaomeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Hindawi 2021 John Wiley & Sons, Inc
Schlagworte:	Algorithms Analysis Ant colony optimization Back propagation networks Cooperation Decision making Flight Flight tests Genetic algorithms Mathematical optimization Mathematical programming Mission planning Models, Theoretical Neural networks Neural Networks, Computer Optimization algorithms Planning Sensors Unmanned aerial vehicles
ISSN:	1687-5265, 1687-5273, 1687-5273
Online-Zugang:	Volltext
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