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Convergence of a class of penalty methods for constrained scalar set-valued optimization

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  • X. Huang

Abstract

In this paper, we study a class of penalty methods for a class of constrained scalar set-valued optimization problems. We establish an equivalence relation between the lower semicontinuity at the origin of the optimal value function of the perturbed problem and the convergence of the penalty methods. Some sufficient conditions that guarantee the convergence of the penalty methods are also derived. Copyright Springer Science+Business Media, LLC. 2013

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  • X. Huang, 2013. "Convergence of a class of penalty methods for constrained scalar set-valued optimization," Journal of Global Optimization, Springer, vol. 56(4), pages 1501-1513, August.
  • Handle: RePEc:spr:jglopt:v:56:y:2013:i:4:p:1501-1513
    DOI: 10.1007/s10898-012-9910-7
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    References listed on IDEAS

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    1. X. X. Huang, 2012. "Calmness and Exact Penalization in Constrained Scalar Set-Valued Optimization," Journal of Optimization Theory and Applications, Springer, vol. 154(1), pages 108-119, July.
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    Cited by:

    1. Marius Durea & Radu Strugariu, 2020. "On the sensitivity of Pareto efficiency in set-valued optimization problems," Journal of Global Optimization, Springer, vol. 78(3), pages 581-596, November.

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