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A Multicriteria Decision Problem Within the Simplex Algorithm

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Part of the book series: NATO ASI Series ((NATO ASI F,volume 48))

Abstract

The simplex algorithm [1] is not a uniquely defined procedure. The finiteness of the algorithm can be proved under several different strategies for selection of the incoming and the outgoing variables. From theoretical point of view these variations of the simplex method are equivalent in the sense that they all guarantee an optimal solution (if one exists). However, from practical point of view they may be very different in the sense of the computational effort (number of operations, computer time) needed to solve a problem. At present there is a growing need for stable, fast, and flexible LP codes which also show some kind of user friendliness, especially when used on professional personal computers (PC’s).

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References

  1. Dantzig, G.B,, Linear Programming and Extensions, Princeton University Press, 1963.

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  2. Greenberg, H.J., “Pivot selection tactics”, in H.J. Greenberg (ed.), Design and Implementation of Optimization Software, Sijthoff and Nordhoff, 1978.

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  3. Maros, I., “A general Phase-I method in linear programming”, European Journal of Operational Research, 23(1986) 64–77

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  4. Orchard-Hays, W., Advanced Linear Programming Computing Techniques, McGraw-Hill, 1968.

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© 1988 Springer-Verlag Berlin Heidelberg

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Maros, I. (1988). A Multicriteria Decision Problem Within the Simplex Algorithm. In: Mitra, G., Greenberg, H.J., Lootsma, F.A., Rijkaert, M.J., Zimmermann, H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-83555-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83557-5

  • Online ISBN: 978-3-642-83555-1

  • eBook Packages: Springer Book Archive

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