Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69764
DC FieldValueLanguage
dc.contributor.authorGawel, Maciejen_US
dc.contributor.authorJakubek, Tomaszen_US
dc.contributor.authorByrski, Aleksanderen_US
dc.contributor.authorKisiel-Dorohinicki, Mareken_US
dc.contributor.authorPietak, Kamilen_US
dc.contributor.authorHernandez, Danielen_US
dc.date.accessioned2020-02-05T12:49:54Z-
dc.date.available2020-02-05T12:49:54Z-
dc.date.issued2018en_US
dc.identifier.isbn978-3-319-98442-1en_US
dc.identifier.issn0302-9743en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/69764-
dc.description.abstractThe 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.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceComputational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science, v. 11055 LNCS, p. 319-328en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject120326 Simulaciónen_US
dc.subject331913 Vehículos submarinosen_US
dc.titleEvolutionary multi-agent system in planning of marine trajectoriesen_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference10th International Conference on Computational Collective Intelligence (ICCCI)-
dc.relation.conference10th International Conference on Computational Collective Intelligence, ICCCI 2018-
dc.identifier.doi10.1007/978-3-319-98443-8_29en_US
dc.identifier.scopus85053179509-
dc.identifier.isi000458811500029-
dc.contributor.authorscopusid57203855375-
dc.contributor.authorscopusid55786937500-
dc.contributor.authorscopusid6507684508-
dc.contributor.authorscopusid6602899437-
dc.contributor.authorscopusid34977589900-
dc.contributor.authorscopusid55547119831-
dc.description.lastpage328en_US
dc.description.firstpage319en_US
dc.relation.volume11055en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Capítulo de libroen_US
dc.contributor.daisngid29690420-
dc.contributor.daisngid4253887-
dc.contributor.daisngid507311-
dc.contributor.daisngid485428-
dc.contributor.daisngid3708232-
dc.contributor.daisngid29703841-
dc.identifier.eisbn978-3-319-98443-8-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Gawel, M-
dc.contributor.wosstandardWOS:Jakubek, T-
dc.contributor.wosstandardWOS:Byrski, A-
dc.contributor.wosstandardWOS:Kisiel-Dorohinicki, M-
dc.contributor.wosstandardWOS:Pietak, K-
dc.contributor.wosstandardWOS:Hernandez, D-
dc.date.coverdate2018en_US
dc.identifier.supplement0302-9743-
dc.identifier.conferenceidevents121139-
dc.identifier.ulpgcen_US
dc.description.sjr0,283
dc.description.sjrqQ2
dc.description.spiqQ1
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate05-09-2018-
crisitem.event.eventsstartdate05-09-2018-
crisitem.event.eventsenddate07-09-2018-
crisitem.event.eventsenddate07-09-2018-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-3022-7698-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Sosa, José Daniel-
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