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Dane publikacji

Evolutionary Methods in the Management of Vessel Traffic

Rozdział
Książka: Information, Communication and Environment   Rozdział: 7, Strony: 259-266
2015-06 angielski
Cechy publikacji
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  • Rozdział w książce
  • Zrecenzowana naukowo
  • Konferencyjna
  • Indeksowana w Web of Science
Dyscypliny naukowe
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Automatyka i robotyka , Elektrotechnika
Słowa kluczowe
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Dane konferencji
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  1. TransNav
  2. 2015-06-17 - 2015-06-19
  3. Gdynia, Polska
Abstrakty ( angielski )
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The paper presents evolutionary method as one of the artificial intelligence method used in agent system that can be used to control the movement of ships in a given area. It discusses ways of defining the limits of navigation which occur in the navigation environment. The problem of deriving optimal (safe, shortest, cheapest) route of ship was a topic of many papers. Following the changing standards specified in e-Navigation strategy, proposed agent system bases its operation on agent platform comprising of specialized computer programs – agents, realizing specific goals. Paper describes system structure, methods of solution of collision situations as well as ways of communication and data exchange with environment. Described proper-ties of the system predetermine it for ship movement control systems in congested waters and at open sea.
Bibliografia
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  1. Lisowski J., Optimal and game control algorithms of ship in collision situations at sea. Control and Cybernetics, No. 4, Vol. 42, 2013, p. 773-792.
  2. Lisowski J., Optimization-supported decision-making in the marine game environment. Solid State Phenomena, Trans Tech Publications, Switzerland, Vol. 210, 2014, p. 215-222.
  3. Lisowski J., Game strategies of ship in the collision situa-tions. TransNav – The International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 8, No. 1, 2014, pp. 69-77.
  4. Lisowski J., Computational intelligence methods of a safe ship control. 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems KES2014, Gdynia, Elsevier Procedia Computer Science, No 35, 2014, pp. 634-643.
  5. Łebkowski A., Control of ship movement by the agent sys-tem. Polish Journal of Environmental Studies Vol.17, No. 3C, 2008.
  6. Łebkowski A., Negotiations between the agent platforms. Scientific Publications Gdynia Maritime University, Gdynia 2013.
  7. Łebkowski A., The Hybrid Control System of Moving Ob-ject in a Dynamic Environment, PhD dissertation, Gdansk University of Technology 2006.
  8. Nash J.F., Equilibrium points in N-person games, Proceed-ings of the National Academy of Sciences of the United States of America 36, 48-49, 1950.
  9. Nash J.F., Non-Cooperative Games, Annals of Mathematics 54, 286-295, 1951.
  10. von Neumann J., On the theory of Games of Strategy, Volume IV, Annals of Mathematics Studies 40, A.W. Tucker and R.D. Luce, Princeton University Press, Princeton 1959.
  11. von Neumann J. and Morgenstern O., Theory of Games and Economic Behavior. New York: John Wiley and Sons 1944.
  12. Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P., Numerical Recipes in C, The Art of Scientific Computing. ISBN 0–521–43108–5, Cambridge University Press 1992.
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