Solving the deterministic and stochastic uncapacitated facility location problem: from a heuristic to a simheuristic

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

de Armas, J (Autor) Outra; Juan, AA (Autor) Outra; Marques, JM (Autor) Outra; Joao Pedro Pedroso (Autor) FCUP

Revista

Título: Journal of the Operational Research Society

Vol. 68

Páginas: 1161-1176

ISSN: 0160-5682

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 75 Citações

Scopus - 92 Citações

Outras Informações

ID Authenticus: P-00M-QKG

DOI: 10.1057/s41274-016-0155-6

Abstract (EN): The uncapacitated facility location problem (UFLP) is a popular combinatorial optimization problem with practical applications in different areas, from logistics to telecommunication networks. While most of the existing work in the literature focuses on minimizing total cost for the deterministic version of the problem, some degree of uncertainty (e.g., in the customers' demands or in the service costs) should be expected in real-life applications. Accordingly, this paper proposes a simheuristic algorithm for solving the stochastic UFLP (SUFLP), where optimization goals other than the minimum expected cost can be considered. The development of this simheuristic is structured in three stages: (i) first, an extremely fast savings-based heuristic is introduced; (ii) next, the heuristic is integrated into a metaheuristic framework, and the resulting algorithm is tested against the optimal values for the UFLP; and (iii) finally, the algorithm is extended by integrating it with simulation techniques, and the resulting simheuristic is employed to solve the SUFLP. Some numerical experiments contribute to illustrate the potential uses of each of these solving methods, depending on the version of the problem (deterministic or stochastic) as well as on whether or not a real-time solution is required.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16