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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

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Associate Editor
Tomasz Neumann
 

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TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Multi-Objective Optimization of Motor Vessel Route
1 Institut National des Sciences Appliquées, Rennes, France
ABSTRACT: This paper presents an original method that allows computation of the optimal route of a motor vessel by minimizing its fuel consumption. The proposed method is based on a new and efficient meshing procedure that is used to define a set of possible routes. A consumption prediction tool has been developed in order to estimate the fuel consumption along a given trajectory. The consumption model involves the effects of the meteorological conditions, the shape of the hull and the power train characteristics. Pareto-optimization with a Multi-Objective Genetic Algorithm (MOGA) is taken as a framework for the definition and the solution of the multi-objective optimization problem addressed. The final goal of this study is to provide a decision helping tool giving the route that minimizes the fuel consumption in a limited or optimum time.
REFERENCES
Allsopp, T. 2000. Optimising Yacht Routes Under Uncertainty. Proceedings of the 2000 Fall National Conference of the Operations Reaseach Society of Japan : 176-183.
Bleick, W. & Faulkner F. 1965. Minimum-Time Ship Routing. Journal of Applied Meteorology, 4 : 217-221.
Braddock, R.D. 1970. On Meteorological Navigation. Journal of Applied Meteorology 9(1) : 149-153.
Böttner, C.U. 2007. Weather Routing for Ships in Degraded Condition. International Symposium on Maritime Safety, Security and Environmental Protection, Athens, Greece.
Carlton, J. 2007. Marine Propellers and Propulsion. Butter-worth-Heinemann.
Fonseca, C.M. & Fleming, P.J. 1998. Multiobjective Optimiza-tion and Multiple Constraint Handling with Evolutionary Algorithms. IEEE Trans. On Systems, Man and Cybernetics 28 : 26-37.
Hagiwara, H. & Spaans, J. 1987. Practical Weather Routing of Sail-Assisted Motor Vessels. Journal of Navigation 40(1) : 96-119.
Haltiner, G.J., Hamilton, H.D. & Árnason, G. 1962. Minimal-Time Ship Routing. Journal of Applied Meterology 1(1) : 1-7.
Harries, S., Heinmann, J. & Hinnenthal J. 2003. Pareto-Optimal Routing of Ships. International Conference on Ship and Shipping Research.
Hinnentham, J. & Saerta, Ø. 2005. Robust Pareto-Optimal Routing of Ships Utilizing Ensemble Weather Forecasts. Maritime Transportation and Exploitation of Ocean and Coastal Resources : 1045-1050.
ITTC. 1978. 1978 ITTC Performance Prediction Method for Single Screw Ships. Proceedings of the 15th International Towing Tank Conference, 1978, The Hague, Netherland.
James, R.W. 1957. Application of Wave Forecasts to Marine Navigation. U.S. Navy Hydrographic Office.
Journée, J.M.J. & Mejijers, J.H.C. 1980. Ship Routeing for Op-timum Performance. IME Transactions : 1-17.
Wärtsilä. 2007. Project Guide Wärtsilä 46.
Valdhizen, D.A.V. & Lamont, G.B. 2000. Multiobjective Evo-lutionary Algorithms : Analyzing the State-of-the-art. Evo-lutionary Computation 8 : 125-147.
Zappoli, R. 1972. Minimum-Time Routing as an N-Stage Deci-sion Process. Journal of Applied Meteorology 11(3) : 429-435.
Citation note:
Marie S., Courteille E.: Multi-Objective Optimization of Motor Vessel Route. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 3, No. 2, pp. 133-141, 2009

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