Using error bounds to compare aggregated generalized transportation models

Igor Litvinchev and Socorro Rangel ()

Annals of Operations Research, 2006, vol. 146, issue 1, 119-134

Abstract: A comparative study of aggregation error bounds for the generalized transportation problem is presented. A priori and a posteriori error bounds were derived and a computational study was performed to (a) test the correlation between the a priori, the a posteriori, and the actual error and (b) quantify the difference of the error bounds from the actual error. Based on the results we conclude that calculating the a priori error bound can be considered as a useful strategy to select the appropriate aggregation level. The a posteriori error bound provides a good quantitative measure of the actual error. Copyright Springer Science+Business Media, LLC 2006

Keywords: Clustering; Network models; Approximation algorithms (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1007/s10479-006-0051-6

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