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Multiobjective Duality for Convex-Linear Problems

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Operations Research Proceedings 1999

Part of the book series: Operations Research Proceedings 1999 ((ORP,volume 1999))

Summary

We consider a general vector minimum optimization problem with convex objective functions and linear inequality constraints.

By means of linear scalarization and using the Fenchel-Rockafellar duality approach for the scalarized problem there is constructed a multiobjective dual maximum problem.

The investigations are devoted to weak and strong duality assertions. Moreover, optimality conditions are verified for properly efficient and efficient solutions.

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References

  1. Jahn, J., Duality in vector optimization. Math. Programming 25, 1983, 343–353.

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  2. Luc, D. T., Theory of Vector Optimization. Lecture Notes in Econom. and Math. Systems 319, Springer, Berlin, 1989.

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© 2000 Springer-Verlag Berlin Heidelberg

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Wanka, G., Bot, RI. (2000). Multiobjective Duality for Convex-Linear Problems. In: Inderfurth, K., Schwödiauer, G., Domschke, W., Juhnke, F., Kleinschmidt, P., Wäscher, G. (eds) Operations Research Proceedings 1999. Operations Research Proceedings 1999, vol 1999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58300-1_7

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  • DOI: https://doi.org/10.1007/978-3-642-58300-1_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67094-0

  • Online ISBN: 978-3-642-58300-1

  • eBook Packages: Springer Book Archive

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