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Finding Efficient Points in Multiobjective Quadratic Programming with Strictly Convex Objective Functions

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Book cover Advances in Multiple Objective and Goal Programming

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 455))

Abstract

In this work we consider the unconstrained multiobjective quadratic problem with strictly convex objective functions, (PCM — D). Firstly we expose a technique to determine the equations of the efficient points supposing that there are only two objective functions. This method is based on results on quadratic forms withdrawals by Gantmacher. Secondly, the technique explained is extended to calculate the equations of the efficient points of the general problem (PCM — D).

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References

  1. Beato-Moreno, A. Eficiencia en Programación Cuadrdtica Multiobjetivo. Ph. D. Thesis (Unpublished), 1995.

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  3. Gantmacher, F.R. The Theory of Matrices. Vol I and II. Chelsea Publishing Company, New York, N.Y., 1959.

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© 1997 Springer-Verlag Berlin Heidelberg

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Beato-Moreno, A., Luque-Calvo, P., Osuna-Gómez, R., Rufián-Lizana, A. (1997). Finding Efficient Points in Multiobjective Quadratic Programming with Strictly Convex Objective Functions. In: Caballero, R., Ruiz, F., Steuer, R. (eds) Advances in Multiple Objective and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46854-4_40

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  • DOI: https://doi.org/10.1007/978-3-642-46854-4_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63599-4

  • Online ISBN: 978-3-642-46854-4

  • eBook Packages: Springer Book Archive

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