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...

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Vydáno v:	Journal of marine science and engineering Ročník 10; číslo 11; s. 1695
Hlavní autoři:	Li, Bin, Mao, Jianlin, Yin, Shuyi, Fu, Lixia, Wang, Yan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.11.2022
Témata:	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 přístup:	Získat plný text
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