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Optimization methods in maritime transport and logistics

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of the article is to present the goal of optimization of transport and logistics processes, followed by literature review in the field of optimization methods. The optimization methods were categorized and the most commonly used methods were listed. The tasks of static and dynamic optimization were formulated. An example of the single-criterion static and dynamic optimization and multi-criteria game optimization are given.
Rocznik
Tom
Strony
30--38
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Gdynia Maritime University
Bibliografia
  • 1. Dorf R.C., Bishop R.H.: Modern control systems. Addison Wesley Longman, California, 2012.
  • 2. Engwerda J.C.: LQ dynamic optimization and differentia games. John Wiley & Sons, West Sussex, 2005.
  • 3. Guenin B., Konemann J., Tuncel L.: A gentle introduction to optimization. Cambridge University Press, United Kingdom, 2014.
  • 4. King M.: Process control. Wiley, West Sussex, 2011.
  • 5. Lazarowska A., Lisowski J.: The radar data transmission to computer support system of ship safety. Solid State Phenomena, Vol. 196, 2013, pp. 95-101.
  • 6. Lazarowska A.: Swarm intelligence approach to safe ship control. Polish Maritime Research, 2015, Vol. 22, Issue 4, pp. 34-40.
  • 7. Lebkowski A.: 3D navigator decision support system using the smart glasses technology. Edited by Weintrit A., Neumann T.: Information, communication and environment – marine navigation and safety sea transportation, 2015, pp. 117-122.
  • 8. Lisowski J.: Game control methods in avoidance of ships collisions. Polish Maritime Research, 2012, Vol. 19, Special Issue, pp. 3-10.
  • 9. Lisowski J.: Optimization methods (in Polish). Wydawnictwo Akademii Morskiej w Gdyni, 2017.
  • 10. Malecki J.: Fuzzy track-keeping steering design for a precise control of the ship. Solid State Phenomena, 2013, Vol. 196, pp. 140-147.
  • 11. Nisan N., Roughgarden T., Tardos E., Vazirani V.V.: Algorithmic game theory. Cambridge University Press, New York, 2007, pp. 717-733.
  • 12. Speyer J.L., Jacobson D.H.: Primer on optimal control theory. SIAM, Toronto, 2010.
  • 13. Szlapczynski R., Smierzchalski R.: Supporting navigator’s decisions by visualizing ship collision risk. Polish Maritime Research, 2009, Vol. 16, Issue 1, pp. 83-88.
  • 14. Szymak P.: Comparison of centralized, dispersed and hybrid multi-agent control systems of underwater vehicles team. Solid State Phenomena, Vol. 180, pp. 114-121.
  • 15. Zak A.: Controlling a team of unmanned underwater vehicles performing water region search tasks. Polish Maritime Research, 2013, Vol. 20, Issue 2, pp. 82-89.
  • 16. Zwierzewicz Z.: On the ship course-keeping control system design by using robust and adaptive control. Proc. 19th Int. Conf. on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, 2014, pp. 189-194.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ca28f1de-5df8-43be-a144-fab299720b4a
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