On the feasible set for the squared Euclidean Weber problem and applications
In this paper we find the set of feasible solution points to the Weber location problem with squared Euclidean distances when the weights can be at any point in a given set of intervals. We prove that this set is a convex polygon. The result is then used to solve the minimax regret objective when individual scenarios can be any set of weights in a given set of intervals.
location sensitivity analysis weber problern