Abstract In this chapter, we present evolutionary algorithms for solving the real time ship weather routing problem. The objectives to be minimized are the mean total risk and fuel cost incurred along the obtained route while considering the time-varying sea and weather conditions and also a constraint on the total passage time of the route. In addition, for achieving a high safety level the proposed approaches should return only solutions compliant with the guidelines of the International Maritime Organization (IMO). Two different well-known genetic algorithms, namely SPEA2 and NSGA-II are applied to the ship routing problem and a comparative performance evaluation of the two algorithms is performed. The proposed approaches are tested on real data and compared with an exact algorithm which solves the same problem.
Evolutionary Computation for the Ship Routing Problem
05.09.2017
21 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
SCHIFFFAHRT - Navigation - Evolutionary Computation -- Search Safe Ship Trajectory
Online Contents | 2005
|Pareto-optimal observers for ship propulsion systems by evolutionary computation
Tema Archiv | 2000
|British Library Online Contents | 2015
|Trajectory Planning for Ship in Collision Situations at Sea by Evolutionary Computation
British Library Conference Proceedings | 1997
|