A decomposition heuristic for the maximal covering location problem

A decomposition heuristic for the maximal covering location problem

0.00 Avg rating0 Votes
Article ID: iaor20105579
Volume: 2010
Issue: 5
Start Page Number: 501
End Page Number: 510
Publication Date: May 2010
Journal: Advances in Operations Research
Authors: , ,
Keywords: heuristics
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.

Reviews

Required fields are marked *. Your email address will not be published.