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

Authors
Journal
Procedia Computer Science
1877-0509
Publisher
Elsevier
Volume
35
Identifiers
DOI: 10.1016/j.procs.2014.08.115
Keywords
  • Safe Trajectory
  • Collision Situation
  • Ship Control
  • Fuzzy Set Theory
  • Branch-And-Bound Method
  • Dynamic Programming
  • Genetic Algorithm
Disciplines
  • Computer Science
  • Mathematics

Abstract

Abstract 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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