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Swarm intelligence approach to safe ship control

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents an application of the Ant Colony Optimization (ACO) technique in a safe ship control system. The method developed solves the problem of path planning and collision avoidance of a ship in the open sea as well as in restricted waters. The structure of the developed safe ship control system is introduced, followed by a presentation of the applied algorithm. Results showing the problem-solving capability of the system are also included. The aim of the system developed is to increase automation of a safe ship control process. It is possible to apply the proposed method in Unmanned Surface Vehicles (USVs) control system, what will contribute to the enhancement of their autonomy.
Rocznik
Tom
Strony
33--40
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
  • Gdynia Maritime University, 11/12 Narutowicza St., 80 - 233 Gdańsk, Poland
Bibliografia
  • 1. Barbosa H.J.C.: Ant Colony Optimization - Techniques and Applications, InTech, 2013.
  • 2. Beni G., Wang Jing: Theoretical problems for the realization of distributed robotic systems. IEEE International Conference on Robotics and Automation, 1991.
  • 3. Bonabeau E., Dorigo M., Theraulaz G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Inc., 1999.
  • 4. Brand M., Masuda M., Wehner N. , Yu Xiao-Hua: Ant Colony Optimization Algorithm for Robot Path Planning, International Conference On Computer Design And Applications, 2010.
  • 5. Chang Ki-Yin, Jan G. E., Parberry I.: A Method for Searching Optimal Routes with Collision Avoidance on Raster Charts. The Journal of Navigation, Vol. 56, 2003, p. 371–384.
  • 6. Coldwell T.G.: Marine Traffic Behaviour in Restricted Waters. The Journal of Navigation, Vol. 36, 1983, p. 430–444.
  • 7. Davis P.V., Dove M. J., Stockel C. T.: A Computer Simulation of Marine Traffic Using Domains and Arenas. The Journal of Navigation, Vol. 33, 1980, p. 215–222.
  • 8. Dorigo M., Stutzle T.: Ant Colony Optimization. The MIT Press, 2004.
  • 9. Fujii Y., Tanaka K.: Traffic Capacity. The Journal of Navigation, Vol. 24, 1971, p. 543–552.
  • 10. Goodwin E. M.: A Statistical Study of Ship Domains. The Journal of Navigation, Vol. 28, 1975, p. 328–344.
  • 11. Ito M., Zeng Xiao-Ming: Planning a collision avoidance model for ship using genetic algorithm. IEEE International Conference on Systems, Man, and Cybernetics, 2001.
  • 12. Jones K. D.: Application of a Manoeuvre Diagram to Multi-ship Encounters. The Journal of Navigation, Vol. 27, 1974, p. 19–27.
  • 13. Kudriaszov V., Lisowski J.: Model of positional game applied for the synthesis of safe ship control. Archiwum Automatyki i Telemechaniki, Vol. 24, 1979, p. 483–497.
  • 14. Lazarowska A.: Decision support system for collision avoidance at sea. Polish Maritime Research, Vol. 19, Issue S1 (74), 2012, p. 19–24.
  • 15. Lisowski J.: Computational intelligence methods in the safe ship control process. Polish Maritime Research, Vol. 8, Issue 1, 2001, p. 18–24.
  • 16. Lisowski J.: Comparison of dynamic games in application to safe ship control. Polish Maritime Research, Vol. 21, Issue 3, 2014, p. 3–12.
  • 17. Olsder G. J., Walter J. L.: A differential game approach to collision avoidance of ships. Proceedings of the 8th IFIP Conference on Optimization Techniques, Wurzburg, 1977.
  • 18. Perera L. P., Carvalho J. P., Guedes Soares C.: Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions. Journal of Marine Science and Technology, Vol. 16, No.1, 2011, p. 84–99.
  • 19. Pluciński M.: Application of the Ant Colony Algorithm for the Path Planning. Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems, 2005, p. 345–352.
  • 20. Szłapczyński R.: A New Method of Ship Routing on Raster Grids, with Turn Penalties and Collision Avoidance. The Journal of Navigation, Vol. 59, 2006, p. 27–42.
  • 21. Szłapczyński R.: Evolutionary approach to ship’s trajectory planning within Traffic Separation Schemes. Polish Maritime Research, Vol. 19, Issue 1, 2012, p. 11–20.
  • 22. Śmierzchalski R., Michalewicz Z.: Modeling of Ship Trajectory in Collision Situations by an Evolutionary Algorithm. Transactions on Evolutionary Computation, Vol. 4, 2000, p. 227–241.
  • 23. Tam Ch., Bucknall R.: Path-planning algorithm for ships in closerange encounters. Journal of Marine Science and Technology, Vol. 15, 2010, p. 395–407.
  • 24. Tsou M.-Ch., Cheng H.-Ch.: An Ant Colony Algorithm for efficient ship routing. Polish Maritime Research, Vol. 20, Issue 3, 2013, p. 28–38.
  • 25. Tsou M.-Ch., Hsueh Ch.-K.. The Study of Ship Collision Avoidance Route Planning by Ant Colony Algorithm. Journal of Marine Science and Technology - TAIWAN, Vol. 18, 2010, p. 746–756.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-25b813e0-3506-4ed7-9a91-bfe5ea108c51
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