An analysis of MultiOobjective Evolutionary techniques applicable to weather routing

• Autorzy: Szlapczyńska J. , Smierzchalski R.
• Konferencja: Evolutionary Computation and Global Optimization (10; Krajowa Konferencja Algorytmy Ewolucyjne i Optymalizacja Globalna; 11-13.06.2007; Będlewo, Poland)
• Języki publikacji: EN

Abstrakty

EN

This document describes possible applicationof MultiObjective Evolutionary Algorithms (MOEAs) to a problem of finding the most sutiable vesel route taking into account changeable weather conditions and several navigational constraints. The paper includes a review of MOEA-specific techniques and presents a proposal of their utilizaytion in a weather routing evolutionary algorithm.

Słowa kluczowe

EN

MOEAs-MultiObjective Evolutionary Algorithms

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2007
• Tom: z. 160
• Strony: 277--284
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Szlapczyńska J.

autor

Smierzchalski R.

• Gdynia Maritime University Gdynia Poland,

Bibliografia

• [1] Goldberg, D.E. Genetic Algorithms in Search, Optimization and Machine Learning, Addision Wesley, Reading, 1987.
• [2] Hagiwara, H. Weather routing of (sail-assisted) motor vessels, PhD thesis. Delft, 1989.
• [3] James, R.W. Application of wave forecast to marine navigation, US Navy Hydrographic Office, Washington, 1957.
• [4] Michalewicz, Z. Genetic Algorithms + Data Structure = Evolution Programs, Springer-Verlag Berlin Heidelberg, 1996.
• [5] Purshouse, R.C., Fleming, P.J. The MultiObjective Genetic Algorithm applied to benchmark problems - an analysis, Research Report No. 796, University of Sheffield, 2001.
• [6] Smierzchalski, R., Michalewicz, Z. Modeling of a Ship Trajectory in Collision Situations at Sea by Evolutionary Algorithm, IEEE Transactions on Evolutionary Computation No. 3 Vol. 4, pp. 227-241, 2000.
• [7] Van Veldhuizen, D.A., Lamont, G.B. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art, Evolutionary Computation, pp.125-147, Massachusets Institute of Technology, 2000.
• [8] Wisniewski, B. Methods of route selection for a sea going vessel (in Polish), Wydawnictwo Morskie, Gdańsk, 1991.
• [9] Zitzler, E., Thiele, L. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach, IEEE Transactions on Evolutionary Computation No. 3 Vol. 4, pp. 257-271, 1999.