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Abstrakty
The paper presents a weather routing solution for sail-assisted ships. Since the route finding optimisation process is a multiobjective one, the emphasis is put on possible application of multiobjective optimisation methods. The paper focuses on two such methods, namely evolutionary algorithms and ranking methods represented by Fuzzy TOPSIS. In addition, a proposed set of optimization criteria is presented. Descriptions of assumed ship and sail models as well as exemplary speed characteristic are also provided. Finally, a proposal of application to a weather routing tool is presented.
Rocznik
Tom
Strony
273--278
Opis fizyczny
Bibliogr. 10 poz., wykr.
Twórcy
autor
- Gdynia Maritime University, Gdynia, Poland
Bibliografia
- 1. Chu, T.C. & Lin Y.C. 2003. A Fuzzy TOPSIS Method for Robot Selection, The International Journal Of Advanced Manufacturing Technology: pp. 284-290.
- 2. Hagiwara, H. 1989. Weather routing of (sail-assisted) motor vessels, PhD Thesis, Delft: Technical University of Delft.
- 3. Hwang, C.L. & Yoon K. 1982. Multiple Attribute Decision Making - A State-of-the-Art Survey, The Journal of the Operational Research Society, Vol. 33, No. 3: pp. 289-300.
- 4. James, R.W. 1957. Application of wave forecast to marine navigation, Washington: US Navy Hydrographic Office.
- 5. Oleksiewicz, B. (in preparation). Motor-sailer – A hybrid Propulsion for Commercial Vessels. The case study.
- 6. Spaans, J.A. 1986. Windship routeing, Delft: Technical University of Delft.
- 7. Szlapczynska, J. 2005. Fuzzy TOPSIS as a multicriteria decision making method in navigational applications (in Polish), Works of the Faculty of Navigation, pp. 180-192.
- 8. Szlapczynska, J. & Smierzchalski R. (in preparation). Adopted isochrone method improving ship safety in weather routing with evolutionary approach.
- 9. Wisniewski, B. 1991. Methods of route selection for a sea going vessel (in Polish), Gdansk: Wydawnictwo Morskie.
- 10. Van Veldhuizen, D.A. & Lamont, G.B. 2000. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art, Evolutionary Computation, pp.125-147.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-12d99364-9ad4-405b-b0fb-eca53fc9442a