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

Mostefa Mohamed-Seghir | Zendy

Open Access

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

Author(s) -

Mostefa Mohamed-Seghir

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.08.115

Subject(s) - computer science , trajectory , collision , genetic algorithm , fuzzy logic , process (computing) , dynamic programming , branch and bound , mathematical optimization , algorithm , operations research , artificial intelligence , machine learning , computer security , mathematics , physics , astronomy , operating system

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

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