Please use this identifier to cite or link to this item:
|Title:||Trajectory optimization for ship collision avoidance system using genetic algorithm|
|Citation:||Cheng, X.D.,Liu, Z.Y.,Zhang, X.T. (2007). Trajectory optimization for ship collision avoidance system using genetic algorithm. OCEANS 2006 - Asia Pacific : -. ScholarBank@NUS Repository. https://doi.org/10.1109/OCEANSAP.2006.4393976|
|Abstract:||The safety of ships oceangoing or navigating in inland waterways has been increasingly concerned because it may cause great losses in human life and property and bring environmental pollution. Ship collision avoidance system is expected to reduce such maritime accident. How to find an optimum trajectory is crucial for the success of a ship collision avoidance system. As the basis of ship collision avoidance system, a mathematical model of ship maneuvering motion is first described. Then, optimization approach based on genetic algorithm is applied to seek the ship trajectory considering different navigational constraint conditions of a ship in inland waterways. In this approach, a fitness function is used to model the constraints including target ship and obstacles. The optimal results show that the present method is efficient and can be further applied to the ship-maneuvering simulator. © 2006 IEEE.|
|Source Title:||OCEANS 2006 - Asia Pacific|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 20, 2019
checked on Aug 10, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.