Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Multicriteria Evolutionary Weather Routing Algorithm in Practice
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The Multicriteria Evolutionary Weather Routing Algorithm (MEWRA) has already been introduced by the author on earlier TransNav 2009 and 2011 conferences with a focus on theoretical application to a hybrid-propulsion or motor-driven ship. This paper addresses the topic of possible practical weather routing applications of MEWRA. In the paper some practical advantages of utilizing Pareto front as a result of multicriteria optimization in case of route finding are described. The paper describes the notion of Pareto-optimality of routes along with a simplified, easy to follow, example. It also discusses a choice of the most suitable ranking method for MEWRA (a comparison between Fuzzy TOPSIS and Zero Unitarization Method is presented). In addition to that the paper briefly outlines a commercial application of MEWRA.
KEYWORDS: Weather Routing, Evolutionary Algorithms, Multicriteria Optimisation, Fuzzy TOPSIS, Multicriteria Weather Routing, Multicriteria Evolutionary Weather Routing Algorithm (MEWRA), TransNav Conference, Zero Unitarization Method
REFERENCES
Chu T.C. & Lin Y.C. 2003. A Fuzzy TOPSIS Method for Robot Se-lection, The International Journal Of Advanced Manufacturing Technology. pp. 284-290. Springer. UK.
Hagiwara H. 1989. Weather routing of (sail-assisted) motor vessels. PhD Thesis. Technical University of Delft. The Netherlands.
Hinnenthal J. 2007. Robust Pareto – Optimum Routing of Ships Utilizing Deterministic and Ensemble Weather Forecasts. PhD Thesis. Technical University Berlin. Germany.
Kim B.K. & Jo J.B. & Kim J.R. & Gen M.. 2009. Optimal Route Search in Car Navigation Systems by Multi-objective Genetic Algorithms. International Journal of Information Systems for Logistics and Management. Vol. 4, No. 2 (2009) 9-18. lnderscience Enterprises Ltd. Switzerland.
Kukula K. 2000. Zero Unitarization Method. Wydawnictwa Naukowe PWN. Poland.
Warszawa 2000.
James R.W. 1957. Application of wave forecast to marine navigation. Washington: US Navy Hydrographic Office.
Spaans J.A. 1986. Windship routeing. Technical University of Delft.
Szlapczynska J. 2012. Multicriteria Evolutionary Weather Routing Algorithm (MEWRA) Applied to Marine Weather Forecast and Analysis Tool – NaviWeather by NavSim. Proceedings of ENC’ 2012. Polish Navigational Forum. Gdynia. Poland.
Wisniewski B. 1991. Methods of route selection for a sea going vessel (in Polish), Gdansk: Wydawnictwo Morskie.
Zitzler E. & Thiele L. 1999. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation, No. 3, Vol. 4, pp. 257-271. IEEE Computational Intelligence Society. USA.
Citation note:
Szłapczyńska J.: Multicriteria Evolutionary Weather Routing Algorithm in Practice. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, doi:10.12716/1001.07.01.07, pp. 61-65, 2013
Authors in other databases:
23398837800
qc6dgTcAAAAJOther publications of authors:
File downloaded 1427 times
