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

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.

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Year of publication:	2014
Authors:	Claassen, G.D.H.
Published in:	Omega. - Elsevier, ISSN 0305-0483. - Vol. 43.2014, C, p. 21-29
Publisher:	Elsevier
Subject:	Decision Support Systems \| Paper production industry \| Mixed integer (0–1) fractional programming \| Special ordered sets

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010870973