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The branch-and-bound method and genetic algorithm in avoidance of ships collisions in fuzzy environment

Abstract

Marine navigation consists in continuous observation of the situation at sea, determination the anti-collision manoeuvre. So it necessary to determine ship safe trajectory as a sequence of ship course changing manoeuvres. Each manoeuvre is undertaken on the basis of information obtained from the anti-collision system ARPA. This paper describes a method of safe ship control in the collision situation in a fuzzy environment based on a branch and bound method and a genetic algorithm. The optimal safe ship trajectory in a collision situation is presented as multistage decision-making process.

Keywords:

safe ship control, optimal control, safe trajectories, a branch and bound method, genetic algorithm, ship control, fuzzy set theory

Details

Issue
Vol. 19 No. S1 (74) (2012)
Section
Latest Articles
Published
31-10-2012
DOI:
https://doi.org/10.2478/v10012-012-0022-6
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Author Biography

Mostefa Mohamed-Seghir,
Gdynia Maritime University, Faculty of Marine Electrical Engineering



Authors

Mostefa Mohamed-Seghir

Gdynia Maritime University, Faculty of Marine Electrical Engineering

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