Heuristic solution of an extended double-coverage ambulance location problem for Austria

Heuristic solution of an extended double-coverage ambulance location problem for Austria

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Article ID: iaor2009449
Country: Germany
Volume: 13
Issue: 4
Start Page Number: 325
End Page Number: 340
Publication Date: Dec 2005
Journal: Central European Journal of Operations Research
Authors: , , , ,
Keywords: location, heuristics: ant systems, heuristics: tabu search
Abstract:

In this paper, we present solution procedures to tackle an ambulance location problem in Austria. We consider the problem as a double-coverage ambulance location problem, and for specifying it in formal terms, we use an extension of a model developed by Gendreau, Laporte, and Semet by introducing a limit on the number of inhabitants served per ambulance. To solve the problem, we reimplemented the Tabu Search algorithm and developed an Ant Colony Optimization algorithm.

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