Strength Pareto Evolutionary Approach to weather routing - preliminary results

• Autorzy: Szłapczynska J , Śmierzchalski R.
• Konferencja: Evolutionary Computation and Global Optimization 2008 / National Conference (11 ; 2-4.06.2008 ; Szymbark, Poland)
• Języki publikacji: EN

Abstrakty

EN

This paper describes application of Strength Pareto Evolutionary Algorithm (SPEA) to an optimization problem in weather routing. The paper includes a description of SPEA algorithm and defines the constrained weather routing optimization problem. It also presents a proposal and preliminary test results of SPEA-based weather routing evolutionary algorithm.

Słowa kluczowe

EN

evolutionary computation; evolutionary algorithm; EA; Strength Pareto Evolutionary Algorithm; SPEA; weather routing; weather forecast; global optimization

PL

obliczenia ewolucyjne; algorytm ewolucyjny; prognoza pogody; optymalizacja globalna

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2008
• Tom: z. 165
• Strony: 221--228
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Szłapczynska J

autor

Śmierzchalski R.

• Gdynia Maritime University, Gdynia, Poland,

Bibliografia

• [1] Deb, K. An Efficient Constraint-handling Method for Genetic Algorithms, Computer Methods in Applied Mechanics and Engineering, Vol. 186(2-4) , pp. 311 -338, 2000.
• [2] Hagiwara, H. Weather routing of (sail-assisted) motor vessels, PhD thesis. Delft, 1989.
• [3] NOAA Wave Watch III web site: http://polar.ncep.noaa.gov/waves/index2.shtml
• [4] Oleksiewicz, B. Motor-sailer - A hybrid Propulsion for Commercial Vessels. The case study, Polish Maritime Research (in preparation).
• [5] Szłapczyńska, J. Multiobjective Approach to Weather Routing, in monograph Advanced Marine Control, Gdynia 2007.
• [6] Szłapczyńska, J., Śmierzchalski, R. An Analysis of Multi Objective Evolutionary Techniques Applicable to Weather Routing, Evolutionary Computation and Global Optimization 2007, "Elektronika" z. 160, pp. 277-284, Warszawa 2007.
• [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] Wiśniewski, B. Programming routes for a sea going vessel - fuzzy sets application (in Polish), Problems of automation and ship steering (in Polish), Gdynia, 2007.
• [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.