Mixed integer (0–1) fractional programming for decision support in paper production industry

G.D.H. Claassen

Omega, 2014, vol. 43, issue C, 21-29

Abstract: This paper presents an effective and efficient method for solving a special class of mixed integer fractional programming (FP) problems. We take a classical reformulation approach for continuous FP as a starting point and extend it for solving a more general class of mixed integer (0–1) fractional programming problems.

Keywords: Decision Support Systems; Paper production industry; Mixed integer (0–1) fractional programming; Special ordered sets (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.omega.2013.05.008

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