Multicriteria Optimisation in Weather Routing

• Autorzy: Szłapczynska J. , Smierzchalski R.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a new weather routing solution fully supporting multicriteria optimisation process of route finding. The solution incorporates two multicriteria optimisation methods, namely multicriteria evolutionary algorithm (SPEA) and multicriteria ranking method (Fuzzy TOPSIS). The paper focuses on presenting the proposed multicriteria evolutionary weather routing algorithm (MEWRA). Furthermore, it includes some experiment results together with a short description of the assumed ship model.

Słowa kluczowe

EN

Multicriteria Optimisation; Weather Routing; route planning; Weather Navigation; Fuzzy TOPSIS; Strength Pareto Evolutionary Algorithm (SPEA); Multicriteria Ranking Method; Isochrone Route

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2009
• Tom: Vol. 3, no. 4
• Strony: 393--400
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Szłapczynska J.

• Gdynia Maritime University, Gdynia, Poland

autor

Smierzchalski R.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

• 1 Bijlsma, S. J. 2004. On the Applications of the Principle of Op-timal Evolution in Ship Routing. NAVIGATION, Journal of The Institute of Navigation, vol. 51, pp. 93–100.
• 2 Hagiwara, H. 1989. Weather routing of (sail-assisted) motor vessels, PhD Thesis, Delft: Technical University of Delft.
• 3 James, R.W. 1957. Application of wave forecast to marine nav-igation, Washington: US Navy Hydrographic Office.
• 4 Oleksiewicz, B. (in press). Motor-sailer – A hybrid Propulsion for Commercial Vessels. The case study. Polish Maritime Reseach.
• 5 Spaans, J.A., 1986, Windship routeing, Technical University of Delft.
• 6 Szłapczyńska, J., Śmierzchalski, R., 2007. Multiobjective Evo-lutionary Approach to Weather Routing For Vessels with Hybrid Propulsion. Polish Journal of Environmental Studies Vol.16 No. 5B, pp.93-97.
• 7 Szłapczyńska, J. 2007. Multiobjective Approach to Weather Routing. “Advances in Marine Navigation and Safety of Sea Transportation” Proceedings of TransNav, Gdynia 2007. Gdynia Maritime University.
• 8 Szłapczyńska, J. (in press). PhD thesis: Application of evolu-tionary algorithms and ranking methods to the weather routing for ships with hybrid propulsion. Zachodnio-pomoski University of Technology.
• 9 Wiśniewski, B. 1991. Methods of route selection for a sea go-ing vessel (in Polish), Gdansk: Wydawnictwo Morskie.
• 10 Wiśniewski B., Chomski J. 2005. Evolutionary algorithms and methods of digraphs in the determination of ship time-optimal route, 2nd International Congress of Seas and Oceans, Szczecin-Świnoujście.