A Stopping Rule for Facilities Location Algorithms |
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| Authors: | Robert f Love Wee y Yeong |
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| Affiliation: |
a McMaster University, West Hamilton, Ontario, Canada
b Department of Business Administration, National University of Singapore, Kent Ridge, Singapore |
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| Abstract: | The single-facility location model with Euclidean distances and its multifacility and ?p distance generalizations are considered. With present algorithms a user is unable to decide how close to optimal any given feasible solution is. This article describes two procedures for calculating a lower bound on the optimal objective function when a proposed solution is given. |
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