Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm

Recently, research on path planning for the autonomous underwater vehicles (AUVs) has developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but most traditional heuristic algorithms are facing two problems, one is slow convergence speed, the other is premature converg...

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Vydáno v:	IEEE transactions on vehicular technology Ročník 70; číslo 9; s. 8529 - 8544
Hlavní autoři:	Wen, Jiabao, Yang, Jiachen, Wang, Tianying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.09.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Ant colony optimization ant colony optimization algorithm autonomous underwater vehicle Autonomous underwater vehicles Clustering algorithms Convergence Genetic algorithm Genetic algorithms Heuristic Heuristic algorithms heuristic algorithms fusion Heuristic methods Kinematics Ocean currents Oceans Path planning Planning Simulated annealing
ISSN:	0018-9545, 1939-9359
On-line přístup:	Získat plný text
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