A Decomposition Heuristic for the Maximal Covering Location Problem. (29th March 2010)

• Record Type: Journal Article
• Authors: Senne, Edson Luiz França; Pereira, Marcos Antonio; Lorena, Luiz Antonio Nogueira
• Other Names: Steiner George Academic Editor.
• Is Part Of: Advances in operations research. Volume 2010(2010)
• Publication Date: 2010-03-29
• Subjects: Operations research -- Periodicals; Operations research; Periodicals; 003
• DOI: 10.1155/2010/120756
• Languages: English
• ISSNs: 1687-9147

Abstract

Abstract : 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.