Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/73046
DC FieldValueLanguage
dc.contributor.authorDagorn, Len_US
dc.contributor.authorPetit, Men_US
dc.contributor.authorStretta, Jmen_US
dc.contributor.authorBernardet, Xen_US
dc.contributor.authorGonzález Ramos, Antonio Juanen_US
dc.date.accessioned2020-06-05T14:20:25Z-
dc.date.available2020-06-05T14:20:25Z-
dc.date.issued1995en_US
dc.identifier.issn0214-8358en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/73046-
dc.description.abstractThe aim of this paper is to introduce the study of the eco-ethology of tropical tuna using a synthetic approach (Artificial Life and Artificial Intelligence). Two different models are proposed dealing with tuna schooling behaviour and distribution of tuna schools in the environment. The first model uses a genetic algorithm which is an optimisation technique born from the Darwinian concept of evolution. The aim is to find optimal behaviour (movement and schooling behaviour) for artificial tuna populations living in heterogeneous and dynamic environments. The result are discussed according to knowledge on real schooling behaviour. The second model is based on the ideal free distribution theory for tuna schooling behaviour to describe the possible distribution and migration of animals in a heterogeneous habitat. It is pointed out that simple behavioural sequences can manage an artificial tuna population : tuna schooling evolves depending on both the energetic rate and the biological and physical environment. These models represent examples of possible computational experiments which must be completed with real experiments at sea.en_US
dc.languageengen_US
dc.relation.ispartofScientia Marinaen_US
dc.sourceScientia Marina [ISSN 0214-8358], v. 59 (3-4), p. 335-346, (Septiembre-Diciembre 1995)en_US
dc.subject3105 Peces y fauna silvestreen_US
dc.subject2408 Etologíaen_US
dc.subject.otherTuna Fishen_US
dc.subject.otherGenetic Algorithmen_US
dc.subject.otherArtificial Schooling Behavioren_US
dc.titleToward A Synthetic Ecoethology Of Tropical Tunasen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.isiA1995TG02900014-
dc.identifier.eissn1886-8134-
dc.description.lastpage346en_US
dc.identifier.issue3-4-
dc.description.firstpage335en_US
dc.relation.volume59en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid547979-
dc.contributor.daisngid22340410-
dc.contributor.daisngid4289693-
dc.contributor.daisngid12091784-
dc.contributor.daisngid30350490-
dc.description.numberofpages12en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:DAGORN, L-
dc.contributor.wosstandardWOS:PETIT, M-
dc.contributor.wosstandardWOS:STRETTA, JM-
dc.contributor.wosstandardWOS:BERNARDET, X-
dc.contributor.wosstandardWOS:RAMOS, AG-
dc.date.coverdateSeptiembre-Diciembre 1995en_US
dc.identifier.ulpgces
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR ECOAQUA: Biodiversidad y Conservación-
crisitem.author.deptIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.deptDepartamento de Biología-
crisitem.author.parentorgIU de Investigación en Acuicultura Sostenible y Ec-
crisitem.author.fullNameGonzález Ramos, Antonio Juan-
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