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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Vydané v:	Arabian journal for science and engineering (2011) Ročník 48; číslo 2; s. 2261 - 2275
Hlavní autori:	Meng, Xiaoling, Zhu, Xijing, Zhao, Jing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2023 Springer Nature B.V
Predmet:	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
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