Standard sensitivity analysis and additive tolerance approach in MOLP

Sebastian Sitarz ()

Annals of Operations Research, 2010, vol. 181, issue 1, 219-232

Abstract: We consider sensitivity analysis of the objective function coefficients in multiple objective linear programming (MOLP). We focus on the properties of the parameters set for which a given extreme solution is efficient. Moreover, we compare two approaches: the standard sensitivity analysis (changing only one coefficient) and the additive tolerance approach (changing all coefficients). We find the connections between these two approaches by giving a theorem describing the upper bound on the maximal additive tolerance. Copyright Springer Science+Business Media, LLC 2010

Keywords: Multiple objective linear programming; Sensitivity analysis (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/s10479-010-0728-8

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