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Comparing Two Optimization Approaches for Ship Weather Routing

In: Operations Research Proceedings 2016

Author

Listed:
  • Laura Walther

    (Fraunhofer CML)

  • Srikanth Shetty

    (Fraunhofer CML)

  • Anisa Rizvanolli

    (Fraunhofer CML)

  • Carlos Jahn

    (Fraunhofer CML)

Abstract

Weather routing in maritime shipping is related to a shipping company’s objective to achieving maximum efficiency, economy and cost competitiveness by optimizing each voyage of a ship. A voyage can be optimized regarding cost, time, safety or a combination of these factors, while considering forecasted meteorological and oceanographic information as well as constraints given by geographic conditions, ship characteristics, emission regulations, safety requirements or time restrictions. A wide variety of mathematical models of the ship weather routing problem as well as different approaches to solve it can be found in the literature and are applied by numerous software systems. This paper presents two approaches to solve the ship weather routing problem, a graph algorithm and an evolutionary approach. Both approaches aim to minimize fuel costs, allowing for route and speed optimization. They are compared based on numerical examples with real-world data.

Suggested Citation

  • Laura Walther & Srikanth Shetty & Anisa Rizvanolli & Carlos Jahn, 2018. "Comparing Two Optimization Approaches for Ship Weather Routing," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 337-342, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_45
    DOI: 10.1007/978-3-319-55702-1_45
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    Cited by:

    1. Stefan Kuhlemann & Kevin Tierney, 2020. "A genetic algorithm for finding realistic sea routes considering the weather," Journal of Heuristics, Springer, vol. 26(6), pages 801-825, December.

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