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Evolutionary Computation for the Ship Routing Problem

  • Aphrodite VenetiEmail author
  • Charalampos Konstantopoulos
  • Grammati Pantziou
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 131)

Abstract

In this chapter, we present evolutionary algorithms for solving the real time ship weather routing problem. The objectives to be minimized are the mean total risk and fuel cost incurred along the obtained route while considering the time-varying sea and weather conditions and also a constraint on the total passage time of the route. In addition, for achieving a high safety level the proposed approaches should return only solutions compliant with the guidelines of the International Maritime Organization (IMO). Two different well-known genetic algorithms, namely SPEA2 and NSGA-II are applied to the ship routing problem and a comparative performance evaluation of the two algorithms is performed. The proposed approaches are tested on real data and compared with an exact algorithm which solves the same problem.

Keywords

Multi-criteria optimization Label setting algorithm Time dependent networks Resource-constrained shortest path 

Notes

Acknowledgements

This work was carried out in the framework of the project “AMINESS: Analysis of Marine Information for Environmentally Safe Shipping” which was co-financed by the European Fund for Regional Development and from Greek National funds through the operational programs “Competitiveness and Entrepreneurship” and “Regions in Transition” of the National Strategic Reference Framework—Action: “COOPERATION 2011 Partnerships of Production and Research Institutions in Focused Research and Technology Sectors”. The publication of this paper has been partly supported by the University of Piraeus Research Center. Also, in this work the research carried out by the first author was partially funded by Onassis Scholarship Foundation.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Aphrodite Veneti
    • 1
    Email author
  • Charalampos Konstantopoulos
    • 1
  • Grammati Pantziou
    • 2
  1. 1.Department of InformaticsUniversity of PiraeusPiraeusGreece
  2. 2.Department of InformaticsTechnological Educational Institution of AthensAthensGreece

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