Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/69764
| Título: | Evolutionary multi-agent system in planning of marine trajectories | Autores/as: | Gawel, Maciej Jakubek, Tomasz Byrski, Aleksander Kisiel-Dorohinicki, Marek Pietak, Kamil Hernandez, Daniel |
Clasificación UNESCO: | 120304 Inteligencia artificial 120326 Simulación 331913 Vehículos submarinos |
Fecha de publicación: | 2018 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 10th International Conference on Computational Collective Intelligence (ICCCI) 10th International Conference on Computational Collective Intelligence, ICCCI 2018 |
Resumen: | The paper considers application of agent-based computing system, namely Evolutionary Multi-Agent System, to solving a difficult yet interesting problem of a marine glider path planning. Different version of mutations are compared both for EMAS and evolutionary algorithm parametrized in the most possibly similar manner to EMAS and the observed results show that the EMAS is better in most of the experiments. | URI: | http://hdl.handle.net/10553/69764 | ISBN: | 978-3-319-98442-1 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-98443-8_29 | Fuente: | Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science, v. 11055 LNCS, p. 319-328 |
| Colección: | Capítulo de libro |
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