Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSantos, Haroldo Gambini-
Autor(es): dc.creatorOchi, Luiz Satoru-
Autor(es): dc.creatorMarinho, Euler Horta-
Autor(es): dc.creatorDrummond, Lúcia Maria de Assumpção-
Data de aceite: dc.date.accessioned2019-11-06T13:25:55Z-
Data de disponibilização: dc.date.available2019-11-06T13:25:55Z-
Data de envio: dc.date.issued2012-12-06-
Data de envio: dc.date.issued2012-12-06-
Data de envio: dc.date.issued2006-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/123456789/2010-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/555228-
Descrição: dc.descriptionThe aim of this work is to present some alternatives to improve the performance of an evolutionary algorithm applied to the problem known as the oil collecting vehicle routing problem. Some proposals based on the insertion of local search and data mining (DM) modules in a genetic algorithm (GA) are presented. Four algorithms were developed: a GA, a GA with a local search procedure, a GA including a DM module and a GA including local search and DM. Experimental results demonstrate that the incorporation of DM and local search modules in GA can improve the solution quality produced by this method.-
Idioma: dc.languageen-
Direitos: dc.rightsO Periódico Neurocomputing concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3305300158005.-
Palavras-chave: dc.subjectEvolutionary algorithms-
Palavras-chave: dc.subjectData mining-
Palavras-chave: dc.subjectVehicle routing-
Título: dc.titleCombining an evolutionary algorithm with data mining to solve a single-vehicle routing problem-
Aparece nas coleções:Repositório Institucional - UFOP

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