The Branch-and-bound Method, Genetic Algorithm, and Dynamic Programming to Determine a Safe Ship Trajectory in Fuzzy Environment

The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship trajectory in collision situation is presented as multistage decision-making in a fuzzy...

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Bibliographic Details
Published inProcedia computer science Vol. 35; pp. 348 - 357
Main Author Mostefa, Mohamed-Seghir
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2014
Subjects
branch-and-bound method
collision situation
dynamic programming
fuzzy set theory
genetic algorithm
safe trajectory
ship control
genetic algorithm
fuzzy set theory
dynamic programming
ship control
branch-and-bound method
safe trajectory
collision situation
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ISSN1877-0509
1877-0509
DOI10.1016/j.procs.2014.08.115

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Summary:The paper describes methods based on the branch-and-bound method, dynamic programming and genetic algorithm to determine a safe ship trajectories in the collision situation in fuzzy environment. Optimal safe ship trajectory in collision situation is presented as multistage decision-making in a fuzzy environment. The maneuverability parameters of the ship and the navigator's subjective assessment in making a decision are taken under consideration in the process model.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2014.08.115