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A primal-dual algorithm for the Fermat-Weber problem involving mixed gauges. (English) Zbl 0641.90034
Summary: We give a new algorithm for solving the Fermat-Weber location problem involving mixed gauges. This algorithm, which is derived from the partial inverse method developed by {\it J. E. Spingarn} [Appl. Math. Optimization 10, 247-265 (1983; Zbl 0524.90072)] simultaneously generates two sequences globally converging to a primal and a dual solution respectively. In addition, the updating formulae are very simple; a stopping rule can be defined though the method is not dual feasible and the entire set of optimal location can be obtained from the dual solution by making use of optimality conditions. When polyhedral gauges are used, we show that the algorithm terminates in a finite number of steps, provided that the set of optimal locations has nonempty interior and a counterexample to finite termination is given in case where this property is violated. Finally, numerical results are reported and we discuss possible extensions of these results.

90B05Inventory, storage, reservoirs
90C90Applications of mathematical programming
65K05Mathematical programming (numerical methods)
Full Text: DOI
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