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