An energy-saving path planning method using adaptive ant colony system for marine surface vehicles

Given the need for ship emission reduction and the energy constraints of unmanned surface vehicles, it is imperative to develop an efficient ship path planning method that incorporates energy-saving considerations. In this paper, considering the challenges posed by the complexity of the marine envir...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 28; H. 9-10; S. 6637 - 6656
Hauptverfasser:	Dong, Liangxiong, Gan, Xinhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024 Springer Nature B.V
Schlagworte:	Algorithms Application of Soft Computing Artificial Intelligence B spline functions Computational Intelligence Control Energy consumption Engineering Entropy (Information theory) Marine environment Mathematical Logic and Foundations Mechatronics Methods Optimization Path planning Performance indices Pheromones Planning Robotics Surface vehicles Unmanned vehicles Wind effects Path planning Energy saving Marine surface vehicle Ant colony system
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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