Path Planning of Multi-Objective Underwater Robot Based on Improved Sparrow Search Algorithm in Complex Marine Environment

Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved. To find a path with minimum cost of the actual environmental threats, navigation...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of marine science and engineering Jg. 10; H. 11; S. 1695
Hauptverfasser:	Li, Bin, Mao, Jianlin, Yin, Shuyi, Fu, Lixia, Wang, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.11.2022
Schlagworte:	Adaptive algorithms Algorithms Altitude Autonomous underwater vehicles AUV path planning Convergence Energy consumption Environmental impact Flow velocity Food Foraging behavior global optimality improved sparrow search algorithm Jumping Marine environment Methods Minimum cost Mutation Navigation Ocean currents Optimization Optimization algorithms Path planning Search algorithms Search methods Threats time-varying currents Underwater robots Underwater vehicles
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!