Customized crossover in evolutionary sets of safe ship trajectories

• Autorzy: Rafał Szłapczyński , Joanna Szłapczyńska
• Języki publikacji: EN

Abstrakty

EN

The paper presents selected aspects of evolutionary sets of safe ship trajectories-a method which applies evolutionary algorithms and some of the assumptions of game theory to solving ship encounter situations. For given positions and motion parameters of the ships, the method finds a near optimal set of safe trajectories of all ships involved in an encounter. The method works in real time and the solutions must be returned within one minute, which enforces speeding up the optimisation process. During the development of the method the authors tested various problem-dedicated crossover operators to obtain the best performance. The results of that research are given here. The paper includes a detailed description of these operators as well as statistical simulation results and examples of experiment results.

Słowa kluczowe

EN

evolutionary algorithms; ship collision avoidance; decision support systems

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2012
• Tom: 22
• Numer: 4
• Strony: 999-1009

Daty

wydano

2012

otrzymano

2011-12-08

poprawiono

2012-05-28

Twórcy

autor

Rafał Szłapczyński

• Department of Marine Mechatronics, Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology, Narutowicza 11-12, 80-233 Gdańsk, Poland

autor

Joanna Szłapczyńska

• Department of Navigation, Faculty of Navigation, Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, Poland

Bibliografia

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Identyfikatory

DOI

10.2478/v10006-012-0074-x