Cordón, Oskar - ed. ; Kazienko, Przemysław - ed.
Hybrid and Ensemble Methods in Machine Learning
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 22, Number 4 (2012) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Oct 14, 2021
Sep 15, 2021
108
https://zbc.uz.zgora.pl/publication/65824
Edition name | Date |
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Customized crossover in evolutionary sets of safe ship trajectories | Oct 14, 2021 |
Arabas, Piotr Malinowski, Krzysztof Korbicz, Józef - red. Uciński, Dariusz - red.
Witczak, Marcin Korbicz, Józef - red.
Schaefer, Robert Byrski, Aleksander Smołka, Maciej Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Chmaj, Grzegorz Walkowiak, Krzysztof Tarnawski, Michał Kucharzak, Michał Korbicz, Józef - red. Uciński, Dariusz - red.
Woźniak, Michał Krawczyk, Bartosz Cordón, Oskar - ed. Kazienko, Przemysław - ed.
Smoczek, Jarosław Korbicz, Józef - red. Uciński, Dariusz - red.
Pławiak, Paweł Tadeusiewicz, Ryszard Kowal, Marek - red. Korbicz, Józef - red.
Bartczuk, Łukasz Przybył, Andrzej Cpałka, Krzysztof Korbicz, Józef - red. Uciński, Dariusz - red.