Publicações

1. Szlapczynska J., Szlapczynski R., 2019, Preference-based evolutionary multi-objective optimization in ship weather routing,
Applied Soft Computing, Volume 84, 2019, 105742, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2019.105742
Open access at: https://www.sciencedirect.com/science/article/pii/S156849461930523X

2. Filipowicz W., 2019, Imprecise Data Handling with MTE, In: Nguyen N., Chbeir R., Exposito E., Aniorté P., Trawiński B. (eds) Computational Collective Intelligence, ICCCI 2019, Lecture Notes in Computer Science, vol 11683. Springer, Cham,
pp. 579-588, https://doi.org/10.1007/978-3-030-28377-3_48,
Access at: https://link.springer.com/chapter/10.1007/978-3-030-28377-3_48

3. Krata P., Vettor R., Guedes Soares C., 2019, Bayesian approach to ship speed prediction based on operational data, In: Guedes Soares (ed.) Developments in the Collision and Grounding of Ships and Offshore Structures, ICCGS 2019, Taylor and Francis Group,
pp. 384-390

4. Życzkowski M., Szlapczynska J., Szlapczynski R., Review of weather forecast services for ship routing purposes, accepted for publication in Polish Maritime Research, vol. 26 (2019) issue 4

5. Vettor R., Szlapczynska J., Szlapczynski R., Tycholiz W., Guedes Soares C., Towards improving optimised ship weather routing, accepted for publication in Polish Maritime Research, vol. 27 (2020)