Linear programming and network flows (2nd ed.)
Linear programming and network flows (2nd ed.)
The maximal covering location problem with capacities on total workload
Management Science
Multilevel k-way partitioning scheme for irregular graphs
Journal of Parallel and Distributed Computing
Constructive Genetic Algorithm for Clustering Problems
Evolutionary Computation
Computers and Operations Research
A branch-and-price approach to p-median location problems
Computers and Operations Research
Lagrangean relaxation with clusters for point-feature cartographic label placement problems
Computers and Operations Research
Population training heuristics
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
Review: Generalized coverage: New developments in covering location models
Computers and Operations Research
Maximal covering location problem (MCLP) with fuzzy travel times
Expert Systems with Applications: An International Journal
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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 location-allocation with a constraint in waiting time or queue length for congested systems, with one or more servers per service center. This paper presents a solution procedure for that probabilistic model, considering one server per center, using a column generation and covering graph approaches. The computational tests report interesting results for network instances up to 818 vertices. The column generation results are competitive solving the instances in reasonable computational times, reaching optimality for some and providing good bounds for the difficult instances.