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A Nonlinear Approximation Method for Solving a Generalized Rectangular Distance Weber Problem

This paper provides a method for approximating optimal location in a multi-facility Weber problem where rectangular distances apply. Optimality is achieved when the sum of weighted distances is minimized. Two upper bounds on the error incurred by using the approximation are developed. The formulation can be used in convex programming to solve some nonlinearly constrained problems.
Year of publication:
1972
Authors: Wesolowsky, G. O. ; Love, R. F.
Published in:
Management Science. - Institute for Operations Research and the Management Sciences - INFORMS, ISSN 0025-1909. - Vol. 18.1972, 11, p. 656-663
Publisher: Institute for Operations Research and the Management Sciences - INFORMS
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Extent:
application/pdf
Type of publication: Article
Other identifiers:
10.1287/mnsc.18.11.656 [DOI]
Source:
Persistent link: https://www.econbiz.de/10009208459
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