Abstract
Our research sets in the field of k-facilities location-allocation problems. More precisely, we developed an approach, that aims to assess the sensitivity of centers to different metrics used to locate them, according to various spatial distributions of demands. We start by a concise state of the art. Then, we justify our approach with several examples on real or simulated data. Two mathematical formalisms of the 1–facility problem and the sensitivity estimation are provided. We finally propose different ways to assess the influence of points of demand on the centers, including exploratory spatial data analysis and random simulations on consequent samples.
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Ciligot-Travain, M., Josselin, D. (2009). Impact of the Norm on Optimal Locations. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_30
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DOI: https://doi.org/10.1007/978-3-642-02454-2_30
Publisher Name: Springer, Berlin, Heidelberg
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