Santos, Haroldo GambiniOchi, Luiz SatoruMarinho, Euler HortaDrummond, Lúcia Maria de Assumpção2012-12-062012-12-062006SANTOS, 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. 20120925-2312http://www.repositorio.ufop.br/handle/123456789/2010The 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.en-USEvolutionary algorithmsData miningVehicle routingArtigo publicado em periodicoO periódico Neurocomputing concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3305300158005.https://doi.org/10.1016/j.neucom.2006.07.008