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An algorithm for solving general fractional interval programming problems

A. Charnes, Daniel Granot and Frieda Granot

Naval Research Logistics Quarterly, 1976, vol. 23, issue 1, 67-84

Abstract: A Linear Fractional Interval Programming problem (FIP) is the problem of extremizing a linear fractional function subject to two‐sided linear inequality constraints. In this paper we develop an algorithm for solving (FIP) problems. We first apply the Charnes and Cooper transformation on (FIP) and then, by exploiting the special structure of the pair of (LP) problems derived, the algorithm produces an optimal solution to (FIP) in a finite number of iterations.

Date: 1976
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https://doi.org/10.1002/nav.3800230107

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Persistent link: https://EconPapers.repec.org/RePEc:wly:navlog:v:23:y:1976:i:1:p:67-84:2

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