2-OptACO: An Improvement of Ant Colony Optimization for UAV Path in Disaster Rescue

Unmanned aerial vehicles (UAVs) are favored by the industry to search and locate lost persons in mountains and trapped persons in earthquakes, fires and other disasters because it is not limited by the obstructions on the ground. Currently, however, a UAV always searches and locates targets along a...

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Veröffentlicht in:	Journal of Information Science and Engineering 2018-07, Vol.34 (4), p.1063-1077
Hauptverfasser:	姬翔(XIANG JI), 华庆一(QING-YI HUA), 王安文(AN-WEN WANG), 汤俊松(JUN-SONG TANG), 李春雨(CHUN-YU LI), 陈峰(FENG CHEN), 房鼎益(DING-YI FANG)
Format:	Artikel
Sprache:	eng
Schlagworte:	Ant colony optimization Computer simulation Disasters Flight paths Genetic algorithms Global positioning systems GPS Mountains Obstructions Optimization algorithms Path planning Satellite navigation systems Searching Unmanned aerial vehicles
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