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Some Optimality Conditions in Multiobjective Programming

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Multicriteria Analysis

Abstract

Abstract: One of the aim of this paper is to introduce new classes of vector generalized concave functions and to point out their role in investigating local and global efficiency and in establishing sufficient optimality conditions for a vector optimization problem. Another aim is to stress the role of the Bouligand tangent cone at a point of the feasible region in deriving optimality conditions.

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© 1997 Springer-Verlag Berlin · Heidelberg

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Cambini, A., Martein, L., Cambini, R. (1997). Some Optimality Conditions in Multiobjective Programming. In: Clímaco, J. (eds) Multicriteria Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60667-0_17

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  • DOI: https://doi.org/10.1007/978-3-642-60667-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64500-6

  • Online ISBN: 978-3-642-60667-0

  • eBook Packages: Springer Book Archive

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