Optimization of the norm of a vector-valued DC function and applications
Journal of Optimization Theory and Applications
A D.C. biobjective location model
Journal of Global Optimization
A General Global Optimization Approach for Solving Location Problems in the Plane
Journal of Global Optimization
Continuous location problems and Big Triangle Small Triangle: constructing better bounds
Journal of Global Optimization
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We address the following single-facility location problem: a firm is entering into a market by locating one facility in a region of the plane. The demand captured from each user by the facility will be proportional to the users buying power and inversely proportional to a function of the user-facility distance. Uncertainty exists on the buying power (weight) of the users. This is modeled by assuming that a set of scenarios exists, each scenario corresponding to a weight realization. The objective is to locate the facility following the Savage criterion, i.e., the minimax-regret location is sought. The problem is formulated as a global optimization problem with objective written as difference of two convex monotonic functions. The numerical results obtained show that a branch and bound using this new method for obtaining bounds clearly outperforms benchmark procedures.