Szczegóły publikacji
Opis bibliograficzny
Evolutionary multi-agent system in planning of marine trajectories / Maciej GAWEŁ, Tomasz Jakubek, Aleksander BYRSKI, Marek KISIEL-DOROHINICKI, Kamil PIĘTAK, Daniel Hernandez // W: Computational collective intelligence : 10th international conference, ICCCI 2018 : Bristol, September 5–7, 2018 : proceedings, Pt. 1 / eds. Ngoc Thanh Nguyen, [et al.]. — Cham : Springer, cop. 2018. — (Lecture Notes in Artificial Intelligence ; ISSN 0302-9743 ; LNAI 11055). — ISBN: 978-3-319-98442-1; e-ISBN: 978-3-319-98443-8. — S. 319–328. — Bibliogr. s. 327–328, Abstr.
Autorzy (6)
Dane bibliometryczne
| ID BaDAP | 116014 |
|---|---|
| Data dodania do BaDAP | 2018-09-11 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-98443-8_29 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems 2018 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
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.
