Obstacle Avoidance Path Planning Using the Elite Ant Colony Algorithm for Parameter Optimization of Unmanned Aerial Vehicles

Unmanned aerial vehicles (UAVs) have attracted considerable research attention because of their strong interoperability, high flexibility, and excellent maneuverability. Path planning and autonomous obstacle avoidance are critical for UAVs. In this study, multiobjective optimization using the ant co...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) Jg. 48; H. 2; S. 2261 - 2275
Hauptverfasser:	Meng, Xiaoling, Zhu, Xijing, Zhao, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023 Springer Nature B.V
Schlagworte:	Algorithms Ant colony optimization Engineering Humanities and Social Sciences Maneuverability multidisciplinary Multiple objective analysis Obstacle avoidance Parameters Path planning Prediction models Regression models Reliability analysis Research Article-Computer Engineering and Computer Science Response surface methodology Science Statistical analysis Unmanned aerial vehicles Variance analysis Regression prediction model Unmanned aerial vehicle (UAV) path planning Parameter optimization Elite ant colony algorithm Analysis of variance
ISSN:	2193-567X, 1319-8025, 2191-4281
Online-Zugang:	Volltext
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