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Optimally Conditions for Pareto Nonsmooth Nonconvex Programming in Banach Spaces

Author

Listed:
  • A. J. V. Brandão

    (ICEB-UFOP)

  • M. A. Rojas-Medar

    (IMECC-UNICAMP)

  • G. N. Silva

    (Universidade Estadual Paulista)

Abstract

In this paper, we consider a vector optimization problem where all functions involved are defined on Banach spaces. We obtain necessary and sufficient criteria for optimality in the form of Karush–Kuhn–Tucker conditions. We also introduce a nonsmooth dual problem and provide duality theorems.

Suggested Citation

  • A. J. V. Brandão & M. A. Rojas-Medar & G. N. Silva, 1999. "Optimally Conditions for Pareto Nonsmooth Nonconvex Programming in Banach Spaces," Journal of Optimization Theory and Applications, Springer, vol. 103(1), pages 65-73, October.
  • Handle: RePEc:spr:joptap:v:103:y:1999:i:1:d:10.1023_a:1021769232224
    DOI: 10.1023/A:1021769232224
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    Cited by:

    1. Thai Doan Chuong, 2019. "Optimality and Duality in Nonsmooth Conic Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 183(2), pages 471-489, November.
    2. T. Antczak, 2016. "Optimality Conditions in Quasidifferentiable Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 171(2), pages 708-725, November.
    3. Valeriano Oliveira & Geraldo Silva, 2013. "New optimality conditions for nonsmooth control problems," Journal of Global Optimization, Springer, vol. 57(4), pages 1465-1484, December.

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