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Title: Trajectory optimization for ship collision avoidance system using genetic algorithm
Authors: Cheng, X.D.
Liu, Z.Y.
Zhang, X.T. 
Issue Date: 2007
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.
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
ISBN: 1424401380
DOI: 10.1109/OCEANSAP.2006.4393976
Appears in Collections:Staff Publications

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