A decomposition heuristic for the maximal covering location problem

• Autor(a) principal: Pereira, Marcos Antonio [UNESP]
• Data de Publicação: 2010
• Outros Autores: Senne, Edson Luiz França [UNESP], Lorena, Luiz Antonio Nogueira
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1155/2010/120756; http://hdl.handle.net/11449/72063

This paper proposes a cluster partitioning technique to calculate improved upper bounds to the optimal solution of maximal covering location problems. Given a covering distance, a graph is built considering as vertices the potential facility locations, and with an edge connecting each pair of facilities that attend a same client. Coupling constraints, corresponding to some edges of this graph, are identified and relaxed in the Lagrangean way, resulting in disconnected subgraphs representing smaller subproblems that are computationally easier to solve by exact methods. The proposed technique is compared to the classical approach, using real data and instances from the available literature. © 2010 Edson Luiz França Senne et al.