The Fermat-Weber location problem revisited
Mathematical Programming: Series A and B
Weber‘s Problem with Attraction and Repulsion under Polyhedral Gauges
Journal of Global Optimization
Multisection in Interval Branch-and-Bound Methods for Global Optimization – I. Theoretical Results
Journal of Global Optimization
Multisection in Interval Branch-and-Bound Methods for Global Optimization II. Numerical Tests
Journal of Global Optimization
On the circle closest to a set of points
Computers and Operations Research - Location analysis
A General Global Optimization Approach for Solving Location Problems in the Plane
Journal of Global Optimization
Computers and Operations Research
Locating a minisum circle in the plane
Discrete Applied Mathematics
Simultaneous scheduling and location (ScheLoc): the planar ScheLoc makespan problem
Journal of Scheduling
The theoretical and empirical rate of convergence for geometric branch-and-bound methods
Journal of Global Optimization
Geometric fit of a point set by generalized circles
Journal of Global Optimization
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
Journal of Global Optimization
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In this paper we propose a general solution method for (non-differentiable) facility location problems with more than two variables as an extension of the Big Square Small Square technique (BSSS). We develop a general framework based on lower bounds and discarding tests for every location problem. We demonstrate our approach on three problems: the Fermat-Weber problem with positive and negative weights, the median circle problem, and the p-median problem. For each of these problems we show how to calculate lower bounds and discarding tests. Computational experiences are given which show that the proposed solution method is fast and exact.