<abstract xmlns="http://www.w3.org/1999/xhtml"><p><italic>Marine navigation consists in continuous observation of the situation at sea, determination</italic><italic>the anti-collision manoeuvre. So it necessary to determine ship safe trajectory as a sequence</italic><italic>of ship course changing manoeuvres. Each manoeuvre is undertaken on the basis of</italic><italic>information obtained from the anti-collision system ARPA. This paper describes a method</italic><italic>of safe ship control in the collision situation in a fuzzy environment based on a branch</italic><italic>and bound method and a genetic algorithm. The optimal safe ship trajectory in a collision</italic><italic>situation is presented as multistage decision-making process</italic></p></abstract>

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

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

Polish Maritime Research

Marine navigation consists in continuous observation of the situation at sea, determinationthe anti-collision manoeuvre. So it necessary to determine ship safe...

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

Pubblicato online: 31 ott 2012

Pagine: 45 - 49

DOI: https://doi.org/10.2478/v10012-012-0022-6

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

This content is open access.

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

Pubblicato online: 31 ott 2012

Pagine: 45 - 49

DOI: https://doi.org/10.2478/v10012-012-0022-6

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

This content is open access.

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