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Lexicographic Duality in Linear Optimization

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Simulation and Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 374))

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Abstract

By lexicographic maximization of the system of functions {fi(x)} k0 on a set M corresponding to permutation p = (i 0,...,i k) we mean the problem: Find M such that vector \(\left[ {{f_{{i_0}}}\left( {\tilde x} \right), \ldots ,{f_{{i_k}}}\left( {\tilde x} \right)} \right]\) is a p-lexicographic maximum on the set

$$y = \left\{ {\left[ {{y_0}, \ldots ,{y_k}} \right]\;\left| {\;{y_t} = {f_{{i_t}}}\left( x \right),x \in M,\;t = 0, \ldots ,k} \right.} \right\}$$

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References

  1. Eremin I.I. On the problems of successive programming // Sib. matem. jurn. 1973. T.14, No.1. P.53–63. (in Russian).

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  2. Eremin I.I. Penalty function method in convex programming // Dokl. AN SSSR. 1967. T.173, No.4. P.748–751. (in Russian).

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© 1992 Springer-Verlag Berlin Heidelberg

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Eremin, I.I. (1992). Lexicographic Duality in Linear Optimization. In: Pflug, G., Dieter, U. (eds) Simulation and Optimization. Lecture Notes in Economics and Mathematical Systems, vol 374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48914-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-48914-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54980-2

  • Online ISBN: 978-3-642-48914-3

  • eBook Packages: Springer Book Archive

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