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2007
Springer

Hybrid heuristics for the probabilistic maximal covering location-allocation problem

9 years 11 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhance its applicability, like the probabilistic model for the maximum covering locationallocation with constraint in waiting time or queue length for congested systems, with one or more servers per service center. This paper presents one solution procedure for that probabilistic model, considering one server per center, using a Hybrid Heuristic known as Clustering Search (CS), that consists of detecting promising search areas based on clustering. The computational tests provide results for network instances with up to 818 vertices.
Francisco de Assis Corrêa, Antonio Augusto C
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where OR
Authors Francisco de Assis Corrêa, Antonio Augusto Chaves, Luiz Antonio Nogueira Lorena
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