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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of marine science and engineering Ročník 10; číslo 11; s. 1695
Hlavní autori:	Li, Bin, Mao, Jianlin, Yin, Shuyi, Fu, Lixia, Wang, Yan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.11.2022
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!