Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/2010
Title: Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem.
Authors: Santos, Haroldo Gambini
Ochi, Luiz Satoru
Marinho, Euler Horta
Drummond, Lúcia Maria de Assumpção
Keywords: Evolutionary algorithms
Data mining
Vehicle routing
Issue Date: 2006
Citation: SANTOS, H. G. et al. Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem. Neurocomputing, v. 70, n. 1-3, p. 70-77, 2006. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0925231206002050>. Acesso em: 05 dez. 2012
Abstract: The 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.
URI: http://www.repositorio.ufop.br/handle/123456789/2010
metadata.dc.identifier.doi: https://doi.org/10.1016/j.neucom.2006.07.008
ISSN: 0925-2312
metadata.dc.rights.license: O periódico Neurocomputing concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3305300158005.
Appears in Collections:DECEA - Artigos publicados em periódicos

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