LAnt: Model driven approach for ant colony optimization

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dc.contributor.authorCerro Cañizares, Pablo
dc.contributor.authorGarcía Merayo, María De Las Mercedes
dc.contributor.authorVara, Juan M.
dc.date.accessioned2025-01-29T15:03:20Z
dc.date.available2025-01-29T15:03:20Z
dc.date.issued2017-01-30
dc.description.abstractThis paper introduces a new high-level domain-specific modelling language, LAnt, for the design of ant colony optimization algorithms. This language is used to represent the main elements required to define the structure of the algorithms and to capture the specific constraints associated to the problem to solve. It aims to support users with low experience in the development of solutions based on this paradigm. The proposal has been implemented as an Eclipse plug-in, including an editor and an integrated code generator.
dc.description.departmentDepto. de Sistemas Informáticos y Computación
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipSpanish MINECO
dc.description.sponsorshipComunidad de Madrid
dc.description.statuspub
dc.identifier.doi10.3233/JIFS-169132
dc.identifier.officialurlhttps://doi.org/10.3233/JIFS-169132
dc.identifier.urihttps://hdl.handle.net/20.500.14352/116955
dc.issue.number2
dc.journal.titleJournal of Intelligent & Fuzzy Systems
dc.language.isoeng
dc.page.final1354
dc.page.initial1343
dc.publisheriOS Press
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2015-65845-C3-1-R/ES/DESARROLLO Y ANALISIS FORMAL DE SISTEMAS COMPLEJOS EN CONTEXTOS DISTRIBUIDOS: FUNDAMENTOS, HERRAMIENTAS Y APLICACIONES/
dc.relation.projectIDS2013/ICE-3006
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordArtificial intelligence
dc.subject.keywordAnt colony optimization
dc.subject.keywordModel driven engineering
dc.subject.keywordDomain specific language
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.titleLAnt: Model driven approach for ant colony optimization
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number32
dspace.entity.typePublication
relation.isAuthorOfPublicationfbd86834-ee36-422f-b303-b72800b228f1
relation.isAuthorOfPublication28ca46b8-d1eb-42e6-a6e2-f31b193b055b
relation.isAuthorOfPublication.latestForDiscoveryfbd86834-ee36-422f-b303-b72800b228f1

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