A Decomposition Heuristic for the Maximal Covering Location Problem
Joint Authors
Senne, Edson Luiz França
Lorena, Luiz Antonio Nogueira
Pereira, Marcos Antonio
Source
Advances in Operations Research
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Senne, Edson Luiz França& Pereira, Marcos Antonio& Lorena, Luiz Antonio Nogueira. 2010. A Decomposition Heuristic for the Maximal Covering Location Problem. Advances in Operations Research،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-447274
Modern Language Association (MLA)
Senne, Edson Luiz França…[et al.]. A Decomposition Heuristic for the Maximal Covering Location Problem. Advances in Operations Research No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-447274
American Medical Association (AMA)
Senne, Edson Luiz França& Pereira, Marcos Antonio& Lorena, Luiz Antonio Nogueira. A Decomposition Heuristic for the Maximal Covering Location Problem. Advances in Operations Research. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-447274
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447274