[
1. Bechikh, S., M. Kessentini, L. Ben Said, K. Ghédira: Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art, Adv. Comput. 98 (2015) 141–207.
]Search in Google Scholar
[
2. Bertaska, I.R., B. Shah, K. Von Ellenrieder, P. Švec, W. Klinger, A.J. Sinisterra, M. Dhanak, S.K. Gupta: Experimental evaluation of automatically-generated behaviors for USV operations, Ocean Eng. 106 (2015) 496–514.
]Search in Google Scholar
[
3. Branke, J., T. Kaußler, H. Schmeck: Guidance in evolutionary multi-objective optimization, Adv. Eng. Softw. 32 (2001) 499–507.
]Search in Google Scholar
[
4. Burmeister, H.-C., W. Bruhn, Ø.J. Rødseth, T. Porathe: Autonomous Unmanned Merchant Vessel and its Contribution towards the e-Navigation Implementation: The MUNIN Perspective, Int. J. e-Navigation Marit. Econ. 1 (2014) 1–13.
]Search in Google Scholar
[
5. Campbell, S., W. Naeem, G.W. Irwin: A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres, Annu. Rev. Control. 36 (2012) 267–283.
]Search in Google Scholar
[
6. Chroni, Dionysia & Liu, Shukui & Plessas, Timoleon & Papanikolaou, Apostolos. (2015). Simulation of the maneuvering behavior of ships under the influence of environmental forces. (2015) 111–120. DOI: 10.1201/b18855-16.10.1201/b18855-16
]Search in Google Scholar
[
7. Cockcroft, A.N., Lameijer J.N.F.: A guide to the collision avoidance rules: international regulations for preventing collisions at sea, Elsevier, 2012.
]Search in Google Scholar
[
8. Fossen, T.I.: Handbook of Marine Craft Hydrodynamics and Motion Control, John Wiley & Sons, Ltd, Chichester, UK, 2011.10.1002/9781119994138
]Search in Google Scholar
[
9. Hermann, D., R. Galeazzi, J.C. Andersen, M. Blanke: Smart sensor based obstacle detection for high-speed unmanned surface vehicle, IFAC-PapersOnLine. 28 (2015) 190–197.
]Search in Google Scholar
[
10. IMO: Resolution MSC.252(83) Adoption of the Revised Performance Standards for Integrated Navigation Systems (INS), Imo - Msc. 252 (2007) 1–49.
]Search in Google Scholar
[
11. ITTC: Final Report and Recommendations to the 24th ITTC. 24th International Towing Tank Conference, 2005.
]Search in Google Scholar
[
12. Jakob, W., C. Blume: Pareto optimization or cascaded weighted sum: A comparison of concepts, Algorithms. 7 (2014) 166–185.
]Search in Google Scholar
[
13. Jingsong, Z., W. Price: Automatic collision avoidance systems: Towards 21st century, in: Dep. Sh. Sci., 2008: pp. 1–10.
]Search in Google Scholar
[
14. Kazimierski, W., A. Stateczny: Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System, J. Navig. 68 (2015) 1141–1154.
]Search in Google Scholar
[
15. Kazimierski, W., G. Zaniewicz, A. Stateczny: Verification of multiple model neural tracking filter with ship’s radar, in: 2012 13th Int. Radar Symp., IEEE, 2012: pp. 549–553.10.1109/IRS.2012.6233383
]Search in Google Scholar
[
16. Krata, P., J. Szlapczynska: Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction, Ocean Eng. 150 (2018) 124–137.
]Search in Google Scholar
[
17. Lazarowska, A.: A new deterministic approach in a decision support system for ship’s trajectory planning, Expert Systems with Applications, Volume 71, 2017, Pages 469-478, ISSN 0957-417410.1016/j.eswa.2016.11.005
]Search in Google Scholar
[
18. Lee, H.-Y., S.-S. Shin: The Prediction of ship’s manoeuvring performance In initial design stage, PRADS Pr. Deisgn Ships Mob. Units. (1998) 666–639.
]Search in Google Scholar
[
19. Li, K., K. Deb, X. Yao: R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multi-Objective Optimization Using Reference Points, IEEE Trans. Evol. Comput. 22 (2017) 821–835.
]Search in Google Scholar
[
20. Li, W., W. Ma: SIMULATION ON VESSEL INTELLIGENT COLLISION AVOIDANCE, Polish Marit. Res. 23 (2016) 138–143.
]Search in Google Scholar
[
21. Lisowski, J.: Optimization-Supported Decision-Making in the Marine Game Environment, in: Mechatron. Syst. Mech. Mater. II, Trans Tech Publications, 2014: pp. 215–222.10.4028/www.scientific.net/SSP.210.215
]Search in Google Scholar
[
22. Lisowski, J.: Analysis of Methods of Determining the Safe Ship Trajectory, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 10 (2016) 223–228.
]Search in Google Scholar
[
23. Man, Y., M. Lundh, T. Porathe, S. MacKinnon: From Desk to Field – Human Factor Issues in Remote Monitoring and Controlling of Autonomous Unmanned Vessels, Procedia Manuf. 3 (2015) 2674–2681.
]Search in Google Scholar
[
24. Naeem, W., S.C. Henrique, L. Hu: A Reactive COLREGs-Compliant Navigation Strategy for Autonomous Maritime Navigation, IFAC-PapersOnLine. 49 (2016) 207–213.
]Search in Google Scholar
[
25. Olszewski, H., H. Ghaemi: New concept of numerical ship motion modelling for total ship operability analysis by integrating ship and Environment Under One Overall System, Polish Marit. Res. 25 (2018) 36–41.
]Search in Google Scholar
[
26. Papanikolaou, A., N. Fournarakis, D. Chroni, S. Liu: Simulation of the Maneuvering Behavior of Ships in Adverse Weather Conditions, 212 (2016) 11–16.
]Search in Google Scholar
[
27. Perera, L.P., J.P. Carvalho, C.. Guedes Soares: Autonomous guidance and navigation based on the COLREGs rules and regulations of collision avoidance, Adv. Sh. Des. Pollut. Prev. (2010) 205–216.
]Search in Google Scholar
[
28. Perera, L.P., L. Moreira, F.P. Santos, V. Ferrari, S. Sutulo, C. Guedes Soares: A navigation and control platform for real-time manoeuvring of autonomous ship models, IFAC, 2012.10.3182/20120919-3-IT-2046.00079
]Search in Google Scholar
[
29. Perera, L.P., C.G. Soares: Weather routing and safe ship handling in the future of shipping, Ocean Eng. 130 (2017) 684–695.
]Search in Google Scholar
[
30. Polvara, R., S. Sharma, J. Wan, A. Manning, R. Sutton: Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles, J. Navig. (2017) 1–16.
]Search in Google Scholar
[
31. Praczyk, T.: Neural anti-collision system for Autonomous Surface Vehicle, Neurocomputing. 149 (2015) 559–572.
]Search in Google Scholar
[
32. Stateczny, A.: Neural Manoeuvre Detection of the Tracked Target in ARPA Systems, IFAC Proc. Vol. 34 (2001) 209–214.
]Search in Google Scholar
[
33. Szłapczynska, J.: Multi-objective Weather Routing with Customised Criteria and Constraints, J. Navig. 68 (2015) 338–354.
]Search in Google Scholar
[
34. Szlapczynski, R.: A new method of planning collision avoidance manoeuvres for multi-target encounter situations, J. Navig. 61 (2008) 307-321.
]Search in Google Scholar
[
35. Szlapczynski, R.: Evolutionary planning of safe ship tracks in restricted visibility, J. Navig. 68 (2015) 39-51.
]Search in Google Scholar
[
36. Szlapczynski, R., J. Szlapczynska: A Simulative Comparison of Ship Domains and Their Polygonal Approximations, TransNav, Int. J. Mar. Navig. Saf. Sea Transp. 9 (2015) 135–141.
]Search in Google Scholar
[
37. Szlapczynski, R., J. Szlapczynska: A Target Information Display for Visualising Collision Avoidance Manoeuvres in Various Visibility Conditions, J. Navig. 68 (2015) 1041–1055.
]Search in Google Scholar
[
38. Szlapczynski, R., J. Szlapczynska: A method of determining and visualizing safe motion parameters of a ship navigating in restricted waters, Ocean Eng. 129 (2017) 363–373.
]Search in Google Scholar
[
39. Tsou, M.C.: Integration of a geographic information system and evolutionary computation for automatic routing in coastal navigation, J. Navig. 63 (2010) 323–341.
]Search in Google Scholar
[
40. Tsou, M.C.: Multi-target collision avoidance route planning under an ECDIS framework, Ocean Eng. 121 (2016) 268–278.
]Search in Google Scholar
[
41. Utyuzhnikov, S. V., P. Fantini, M.D. Guenov: A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization, J. Comput. Appl. Math. 223 (2009) 820–841.
]Search in Google Scholar
[
42. Woerner, K., M.R. Benjamin, M. Novitzky, J.J. Leonard: Quantifying protocol evaluation for autonomous collision avoidance: Toward establishing COLREGS compliance metrics, Auton. Robots. (2018) 1–25.
]Search in Google Scholar
[
43. Wrobel, K., P. Krata, J. Montewka, T. Hinz: Towards the Development of a Risk Model for Unmanned Vessels Design and Operations, Int. J. Mar. Navig. Saf. Sea Transp. 10 (2016) 267–274.
]Search in Google Scholar
[
44. Wróbel, K., J. Montewka, P. Kujala: Towards the assessment of potential impact of unmanned vessels on maritime transportation safety, Reliab. Eng. Syst. Saf. 165 (2017) 155–169.
]Search in Google Scholar
[
45. Zeraatgar, H., M.H. Ghaemi: The Analysis of Overall Ship Fuel Consumption in Acceleration Manoeuvre Using Hull-Propeller-Engine Interaction Principles and Governor Features, Polish Marit. Res. 26 (2019) 162–173.
]Search in Google Scholar
[
46. Zhang, Z., C. Lee: Multiobjective Approaches for the Ship Stowage Planning Problem Considering Ship Stability and Container Rehandles, IEEE Trans. Syst. Man, Cybern. Syst. 46 (2016) 1374–1389.
]Search in Google Scholar
[
47. Zhao-Lin, W.: Quantification of Action to Avoid Collision, J. Navig. 37 (1984) 420–430.
]Search in Google Scholar
[
48. Zhou, K., J. Chen, X. Liu: Optimal Collision-Avoidance Manoeuvres to Minimise Bunker Consumption under the Two-Ship Crossing Situation, J. Navig. (2019) 151–168.
]Search in Google Scholar
[
49. Zitzler, E., M. Laumanns, L. Thiele: {SPEA2}: Improving the {S}trength {P}areto {E}volutionary {A}lgorithm, EUROGEN 2001. Evol. Methods Des. Optim. Control with Appl. to Ind. Probl. (2002) 95–100.
]Search in Google Scholar
