@article{Szlapczynska_2013, author = {Szlapczynska, Joanna}, title = {Multicriteria Evolutionary Weather Routing Algorithm in Practice}, journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation}, volume = {7}, number = {1}, pages = {61-65}, year = {2013}, url = {./Article_Multicriteria_Evolutionary_Weather_Szlapczynska,25,409.html}, 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.}, doi = {10.12716/1001.07.01.07}, issn = {2083-6473}, publisher = {Gdynia Maritime University, Faculty of Navigation}, keywords = {Weather Routing, Multicriteria Evolutionary Weather Routing Algorithm (MEWRA), Fuzzy TOPSIS, TransNav Conference, Zero Unitarization Method, Multicriteria Optimisation, Multicriteria Weather Routing, Evolutionary Algorithms} }