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Max-Min Programming with Linear Fractional Functions; Algorithms and Examples

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 209))

Abstract

Consider the following problem:

$$\max imize\,z(x)=\underset{i=1\ldots r}{\mathop{\min }}\,\frac{{{c}^{i}}x+{{\alpha }_{i}}}{{{d}^{i}}+{{\beta }_{i}}}\,subject\,to\,x\varepsilon s=\{x|Ax\le b,x\ge 0\}$$
(1)

where ci, di are row vectors, with di x + βi > 0 for x ε S. (1) is a linear fractional max-min programming (LFMMP) problem. In this paper we will present two algorithms for the solution of the problem and give some initial computational experience.

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References

  1. R. Gupta and S.R. Arora, “Programming Problem with Maximin Objective Function”, Opsearch 14 (1977) pp. 125–130.

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  2. S. Kaplan, “Applications of Programs with Maximin objective Functions to Problems of Optimal Resource Allocation”. Operations Research 22 (1974) pp. 802–807.

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  4. J.S.H. Kornbluth and R.E. Steuer, “Multiple Objective Linear Fractional Programming”, Management Science, Vol. 27, No. 9 (1981) pp. 1024–1037

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  6. M.E. Posner and C.T. Wu, “Linear Max-Min Programming”, Mathematical Programming 20 (1981) pp. 166–172.

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© 1983 Springer-Verlag Berlin Heidelberg

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Kornbluth, J.S.H. (1983). Max-Min Programming with Linear Fractional Functions; Algorithms and Examples. In: Hansen, P. (eds) Essays and Surveys on Multiple Criteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46473-7_19

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  • DOI: https://doi.org/10.1007/978-3-642-46473-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11991-3

  • Online ISBN: 978-3-642-46473-7

  • eBook Packages: Springer Book Archive

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