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A Flexible Approach to Piecewise Linear Multiple Objective Programming

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Operations Research Proceedings 1996

Part of the book series: Operations Research Proceedings ((ORP,volume 1996))

Zusammenfassung

In diesem Artikel wird eine Methode zur Bestimmung aller effizienten Punkte eines Vektoroptimierungsproblems mit stückweise linearen Zielfunktionen dargestellt. Der Ansatz beruht auf einer Unterteilung des Raumes in Zellen, in denen das Problem linear ist. Die Konzepte der Zell-Effizienz sowie der Komplex-Effizienz und ihre Beziehung zur allgemeinen Effizienz werden dargestellt. Anwendungen in Standorttheorie und Worst-Case Analyse werden besprochen und das Konzept wird an einem Beispiel verdeutlicht.

Abstract

An approach to generating all efficient solutions of multiple objective programs with piece- wise linear objective functions and linear constraints is presented. The approach is based on the decomposition of the feasible set into subsets, referred to as cells, so that the original problem reduces to a series of linear multiple objective programs over the cells. The concepts of cell-efficiency and complex-efficiency are introduced and their relationship with efficiency is examined. Applications in location theory as well as in worst case analysis are highlighted.

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References

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© 1997 Springer-Verlag Berlin Heidelberg

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Nickel, S., Wiecek, M.M. (1997). A Flexible Approach to Piecewise Linear Multiple Objective Programming. In: Operations Research Proceedings 1996. Operations Research Proceedings, vol 1996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60744-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-60744-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62630-5

  • Online ISBN: 978-3-642-60744-8

  • eBook Packages: Springer Book Archive

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