Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
475628 | Computers & Operations Research | 2016 | 9 Pages |
Abstract
The problem is challenging and intrinsically much harder than its basic version. Nevertheless, it admits a constant factor approximation guarantee, which can be achieved combining two greedy algorithms. To improve the greedy solutions, we have developed a Variable Neighborhood Search approach, based on an exponential-size neighborhood. This algorithm computes good quality solutions in short computational time. The viability of the approach here proposed is also corroborated by a comparison with a Heuristic Concentration algorithm, which is presently the most effective approach to solve large instances of the Maximal Covering Location Problem.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Fabio Colombo, Roberto Cordone, Guglielmo Lulli,