Evolutionary Sets of Safe Ship Trajectories: Evaluation of Individuals

• Autorzy: Szlapczyński R. , Szlapczyńska J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a description of the evaluation phase of the Evolutionary Sets of Safe Ship Trajectories method. In general, the Evolutionary Sets of Safe Ship Trajectories method combines some of the assumptions of game theory with evolutionary programming and finds an optimal set of cooperating trajectories of all ships involved in an encounter situation. While developing a new version of this method, the authors decided to use real maps instead of a simplified polygon modelling and also to focus on better handling of COLREGS. The upgrade to the method enforced redesigning the evaluation phase of the evolutionary process. The new evaluation is thoroughly described and it is shown how evaluation affects final solutions returned by the method.

Słowa kluczowe

EN

Decision Support Tools; ship's trajectory; Optimum Trajectory; Optimization of Vessel Route

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2012
• Tom: Vol. 6, no. 3
• Strony: 345--353
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Szlapczyński R.

• Gdansk University of Technology, Gdansk, Poland

autor

Szlapczyńska J.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

• [1] Coldwell T.G. 1982. Marine Traffic Behaviour in restricted Waters, The Journal of Navigation, 36, 431-444. Cam-bridge: Cambridge Journals.
• [2] Davis P.V. & Dove M.J. & Stockel C.T. 1982. A Computer Simulation of multi-Ship Encounters. The Journal of Navigation, 35, 347-352. Cambridge: Cambridge Journals.
• [3] Fuji J., Tanaka K. (1971). Traffic Capacity. The Journal of Navigation, 24, 543-552. Cambridge: Cambridge Journals.
• [4] Goodwin E.M. 1975. A Statistical Study of Ship Domains. The Journal of Navigation, 28, 329-341. Cambridge: Cambridge Journals.
• [5] IMO. 1977. Convention on the International Regulations for Preventing Collisions at Sea. The International Maritime Organization.
• [6] Lisowski J. 2005. Dynamic games methods in navigator decision support system for safety navigation, Proceedings of the European Safety and Reliability Conference, vol. 2, 1285 – 1292.
• [7] Michalewicz Z. & Fogel D.B. 2004. How To Solve It: Modern Heuristics, Springer-Verlag.
• [8] Smierzchalski, R., Michalewicz, Z. 2000. Modeling of a Ship Trajectory in Collision Situations at Sea by Evolutionary Algorithm, IEEE Transactions on Evolutionary Computation No. 3 Vol. 4, pp. 227-241.
• [9] Szłapczynski R. 2010: Solving Multi-Ship Encounter Situations by Evolutionary Sets of Cooperating Trajectories. TransNav - International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 4, No. 2, pp. 185-190
• [10] Wawruch R. 2002. ARPA zasada działania i wykorzystania, Gdynia: WSM Gdynia