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On a Class of Interval Data Minmax Regret CO Problems

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Operations Research Proceedings 2007

Part of the book series: Operations Research Proceedings ((ORP,volume 2007))

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Abstract

Some remarks about the Kasperski and Zielinski approximation algorithm for a class of interval data minmax regret combinatorial optimization problems (Algorithm K&Z) are presented. These remarks help to give a better understanding of both the design of the algorithm and its possible applications.

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Candia-Véjar, A., Álvarez-Miranda, E. (2008). On a Class of Interval Data Minmax Regret CO Problems. In: Kalcsics, J., Nickel, S. (eds) Operations Research Proceedings 2007. Operations Research Proceedings, vol 2007. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77903-2_19

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