Maximum dispersion and geometric maximum weight cliques
We consider a facility location problem, where the objective is to ``disperser'' number of facilities, i.e., select a given number \(k\) of locations from a discrete set of \(n\) candidates, such that the average distance between selected locations is maximized. In particular, we present algorithmic results for the case where vertices are represented by points in \(d\)-dimensional space, and edge weights correspond to rectilinear distances. Problems of this type have been considered before, with the best result being an approximation algorithm with performance ratio 2. For the case where \(k\) is fixed, we establish a linear-time algorithm that finds an optimal solution. For the case where \(k\) is part of the input, we present a polynomial-time approximation scheme.
scientific article; zbMATH DE number 2101909