CT - DCIV - Artigos publicados em periódicos
URI Permanente para esta coleçãohttps://repositorio.ufrn.br/handle/1/168
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Navegando CT - DCIV - Artigos publicados em periódicos por Autor "Aloise, Daniel"
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Artigo A simple and effective genetic algorithm for the two-stage capacitated facility location problem(Elsevier, 2014) Fernandes, Diogo Robson Montes; Rocha, Caroline Thennecy de Medeiros; Aloise, Daniel; Ribeiro, Glaydston M.; Santos, Enilson Medeiros dos; Silva, AllysonThis paper presents a simple and effective Genetic Algorithm (GA) for the two-stage capacitated facility location problem (TSCFLP). The TSCFLP is a typical location problem which arises in freight transportation. In this problem, a single product must be transported from a set of plants to meet customers demands, passing out by intermediate depots. The objective is to minimize the operation costs of the underlying two-stage transportation system thereby satisfying demand and capacity constraints of its agents. For this purpose, a GA is proposed and computational results are reported comparing the heuristic results with those obtained by two state-of-the-art Lagrangian heuristics proposed in the literature for the problem