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

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

Research article (journal) | Peer reviewed

Abstract

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 about the publication

JournalESAIM: Control, Optimisation and Calculus of Variations
Volume15
Issue3
Page range509-524
StatusPublished
Release year2009
Language in which the publication is writtenEnglish
DOI10.1051/cocv:2008034
Link to the full texthttp://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=68549120865
Keywordsκ-median problem; Average distance functional; Facility location; Fermat-Weber problem; Location problem; Optimal transportation; Sequential allocation

Authors from the University of Münster

Brancolini, Alessio
Professorship of Biomedical Computing/Modelling (Prof. Wirth)