Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69764
Title: Evolutionary multi-agent system in planning of marine trajectories
Authors: Gawel, Maciej
Jakubek, Tomasz
Byrski, Aleksander
Kisiel-Dorohinicki, Marek
Pietak, Kamil
Hernandez, Daniel 
UNESCO Clasification: 120304 Inteligencia artificial
120326 Simulación
331913 Vehículos submarinos
Issue Date: 2018
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 10th International Conference on Computational Collective Intelligence (ICCCI) 
10th International Conference on Computational Collective Intelligence, ICCCI 2018 
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.
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
Source: Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science, v. 11055 LNCS, p. 319-328
Appears in Collections:Capítulo de libro
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.