Long-term planning versus short-term planning in the asymptotical location problem

Brancolini A., Buttazzo G., Santambrogio F., Stepanov E.

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Given the probability measure v over the given region Ω ⊂ ℝn, we consider the optimal location of a set ∑ composed by n points in Ω in order to minimize the average distance ∑ → ∫ Ω dist (x ∑)dv (the classical optimal facility location problem). The paper compares two strategies to find optimal configurations: the long-term one which consists in placing all n points at once in an optimal position, and the short-term one which consists in placing the points one by one adding at each step at most one point and preserving the configuration built at previous steps. We show that the respective optimization problems exhibit qualitatively different asymptotic behavior as n → ∞, although the optimization costs in both cases have the same asymptotic orders of vanishing. © EDP Sciences, SMAI 2008.

Details zur Publikation

FachzeitschriftESAIM: Control, Optimisation and Calculus of Variations
Jahrgang / Bandnr. / Volume15
Ausgabe / Heftnr. / Issue3
Seitenbereich509-524
StatusVeröffentlicht
Veröffentlichungsjahr2009
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1051/cocv:2008034
Link zum Volltexthttp://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=68549120865
Stichwörterκ-median problem; Average distance functional; Facility location; Fermat-Weber problem; Location problem; Optimal transportation; Sequential allocation

Autor*innen der Universität Münster

Brancolini, Alessio
Professur für Biomedical Computing/Modelling (Prof. Wirth)