Modelling of Ship’s Trajectory Planning in Collision Situations by Hybrid Genetic Algorithm

1. Bazarra M.S., Shetty L.M.: Nonlinear Programming: Theory and Algorithms. John Wiley and Sons, New York, 1979, pp. 1-360.Search in Google Scholar

2. Benjamin M. R., Curcio J. A.: COLREGS-based navigation of autonomous marine vehicles. Autonomous Underwater Vehicles IEEE/OES. IEEE, 2004, pp. 32-39.10.1109/AUV.2004.1431190Search in Google Scholar

3. Burmeister, H.C., Bruhn W. and Porathe T.: Autonomous unmanned merchant vessel and its contribution towards the e-navigation implementation. the MUNIN perspective. Ocean Engineering. 1, 2014, pp. 1-13.10.1016/j.enavi.2014.12.002Search in Google Scholar

4. Goldberg D.: Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, Reading, MA, 1989Search in Google Scholar

5. Hong X., Harris C. J., Wilson P. A.: Autonomous ship collision free trajectory navigation and control algorithms. Proceedings of 7^th IEEE International Conference on Emerging Technologies and Factory Automation, 1999, pp. 923–929.Search in Google Scholar

6. Hwang C. N., Yang J. M., Chiang C. Y.: The design of fuzzy collision-avoidance expert system implemented by H (subscript∞)-autopilot. Journal of Marine Science and technology, 9(1), 2001, pp. 25-37.10.51400/2709-6998.2432Search in Google Scholar

7. Hwang C.N.: The integrated design of fuzzy collision-avoidance and h1-autopilots on ships. The Journal of Navigation, 55 (1), 2002, pp.117–136.10.1017/S0373463301001631Search in Google Scholar

8. Ito M., Zhang F. and Yoshida N.: Collision avoidance control of ship with genetic algorithm. Proceedings of 1999 IOOO international conference on control applications, 1999. pp. 1791-1796.Search in Google Scholar

9. Jokioinen E.: Remote and autonomous ships: the next steps. www.rolls-royce.com/marine, 2016Search in Google Scholar

10. Lazarowska A.: Ship’s trajectory planning for collision avoidance at sea based on ant colony optimization. Journal of Navigation, 68(2), 2015, pp. 291-307.10.1017/S0373463314000708Search in Google Scholar

11. Lee Y., Kim Y. G.: A collision avoidance system for autonomous ship using fuzzy relational products and COLREGs. Proceedings of Intelligent Data Engineering and Automated Learning–IDEAL: 5^th International Conference, Exeter, UK. 25–27 August, 2004, pp. 247-252.10.1007/978-3-540-28651-6_36Search in Google Scholar

12. Li, L.N., Yang S.H., Cao B.G. and Li, Z.F.: A summary of studies on the automation of ship Collision Avoidance Intelligence. Journal of Jimei University, China, 11(2), 2006, pp. 199-192.Search in Google Scholar

13. Liu, Y., Bucknall R.: Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment. Ocean Engineering, 97, 2015, pp. 126–144.10.1016/j.oceaneng.2015.01.008Search in Google Scholar

14. Miele, A., Wang T., Chao C. S., et al.: Optimal control of a ship for collision avoidance maneuvers. Journal of Optimization Theory and Applications, 103(3), 1999, pp. 495–519.10.1023/A:1021775722287Search in Google Scholar

15. Perera L. P., Carvalho J. P., Soares C. G.: Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions. Journal of Marine Science and Technology, 16(1), 2011, pp. 84-99.10.1007/s00773-010-0106-xSearch in Google Scholar

16. Perera L. P., Carvalho J. P., Soares C. G.: Intelligent ocean navigation and fuzzy-bayesian decision action formulation. IEEE Journal of Oceanic Engineering, 37(2), 2012, pp. 204-219.10.1109/JOE.2012.2184949Search in Google Scholar

17. Smierzchalski R.: Evolutionary trajectory planning of ships in navigation traffic areas. Journal of Marine Science and Technology. 4(1), 1999, pp. 1-6.10.1007/s007730050001Search in Google Scholar

18. Statheros T., Howells G. and McDonald-Maier K.: Autonomous ship collision avoidance navigation concepts, technologies and techniques. Journal of Navigation, 61, 2008, pp. 129-142.10.1017/S037346330700447XSearch in Google Scholar

19. Sun L. C.: The Model of close quarter situation. Proceedings of 96’ANTI-COLLISION, 1996.Search in Google Scholar

20. Szlapczynski, R.: A unified measure of collision risk derived from the concept of a ship domain. Journal of Navigation. 59, 2006, pp. 477-490.10.1017/S0373463306003833Search in Google Scholar

21. Szlapczynski, R.. A new method of ship routing on raster grids, with turn penalties and collision avoidance. Journal of Navigation, 59(1), 2006, pp. 27–42.10.1017/S0373463305003528Search in Google Scholar

22. Szlapczynski, R.: Evolutionary sets of safe ship trajectories: a new approach to collision avoidance. Journal of Navigation, 64(1), 2011, pp.169-181.10.1017/S0373463310000238Search in Google Scholar

23. Szlapczynski R., Szlapczynska J.: On evolutionary computing in multi-ship trajectory planning. Applied Intelligence, 37(2), 2012, pp. 155-174.10.1007/s10489-011-0319-7Search in Google Scholar

24. Szlapczynski R., Szlapczynska J.: Customized crossover in evolutionary sets of safe ship trajectories. International Journal of Applied Mathematics and Computer Science, 22(4), 2012, pp. 999-1009.10.2478/v10006-012-0074-xSearch in Google Scholar

25. Szłapczynski R.: Evolutionary sets of safe ship trajectories with speed reduction manoeuvres within traffic separation schemes. Polish Maritime Research, 21(1), 2014, pp. 20-27.10.2478/pomr-2014-0004Search in Google Scholar

26. Tam C., Bucknall R., Greig A.: Review of collision avoidance and path planning methods for ships in close range encounters. Journal of Navigation. 62, 2009, pp. 455-476.10.1017/S0373463308005134Search in Google Scholar

27. Tam C., Bucknall R.: Collision risk assessment for ships. J. Mar. Sci. Technol. 15, 2010, pp. 257-270.10.1007/s00773-010-0089-7Search in Google Scholar

28. Tam C. K., Bucknall R.: Path-planning algorithm for ships in close-range encounters. Journal of Marine Science and Technology, 15(4), 2010, pp. 395-407.10.1007/s00773-010-0094-xSearch in Google Scholar

29. Tam C. K., Bucknall R.: Cooperative path planning algorithm for marine surface vessels. Ocean Engineering, 57, 2013, pp. 25–33.10.1016/j.oceaneng.2012.09.003Search in Google Scholar

30. Tsou M.C., Hsueh C.K.: The study of ship collision avoidance route planning by ant colony algorithm. Journal of Marine Science and Technology, 2010, 18(5), 2010, pp. 746-756.10.51400/2709-6998.1929Search in Google Scholar

31. Tsou, M. C., Kao S. L., Su C. M.: Decision support from genetic algorithms for ship collision avoidance route planning and alerts. Journal of Navigation, 63(1), 2010, pp. 167–182.10.1017/S037346330999021XSearch in Google Scholar

32. Tsou M.C.: Multi-target collision avoidance route planning under an ECDIS framework. Ocean Engineering. 121, 2016, pp. 268-278.10.1016/j.oceaneng.2016.05.040Search in Google Scholar

33. Xu Q. Y.: Collision avoidance strategy optimization based on danger immune algorithm. Computers & Industrial Engineering, 76, 2014, pp. 268-279.10.1016/j.cie.2014.08.010Search in Google Scholar

34. Xue Y., Clelland D., Lee B. S., et al.: Automatic simulation of ship navigation. Ocean Engineering, 38(17), 2011, pp. 2290–2305.10.1016/j.oceaneng.2011.10.011Search in Google Scholar

35. Zhang J, F., Zhang D., Yan X., et al.: A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs. Ocean Engineering, 105, 2015, pp. 336-348.10.1016/j.oceaneng.2015.06.054Search in Google Scholar