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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
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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
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