Etant donne un graphe G= (V, E) oriente, on appelle distance la longueur d’un plus court chemin e... more Etant donne un graphe G= (V, E) oriente, on appelle distance la longueur d’un plus court chemin entre 2 sommets de V. Le probleme du p-Centre, note pCP, consiste a trouver un sous-ensemble de sommets C⊆V,|C|=p, qui minimise la distance maximum entre un sommet v∈V et un sommet dans C [2].
In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is pre... more In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is presented involving stochastic mixed integer nonlinear optimization, Bayesian networks and directional statistic inference. From a first simple approximation to the large model, will be shown what motivates follow models and its complexity incorporated. Also, a case study with real data about Corsica region is presented. Keywords— stochastic programming, mixed integer programming, nonlinear programming, Bayesian inference
Etant donne un graphe G= (V, E) oriente, on appelle distance la longueur d’un plus court chemin e... more Etant donne un graphe G= (V, E) oriente, on appelle distance la longueur d’un plus court chemin entre 2 sommets de V. Le probleme du p-Centre, note pCP, consiste a trouver un sous-ensemble de sommets C⊆V,|C|=p, qui minimise la distance maximum entre un sommet v∈V et un sommet dans C [2].
In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is pre... more In order to respond the question “Where to locate fuel breaks?”, a peculiar location model is presented involving stochastic mixed integer nonlinear optimization, Bayesian networks and directional statistic inference. From a first simple approximation to the large model, will be shown what motivates follow models and its complexity incorporated. Also, a case study with real data about Corsica region is presented. Keywords— stochastic programming, mixed integer programming, nonlinear programming, Bayesian inference
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