Proper andisolated efficiencies in multiobjective optimization problems
We employ some advanced tools of variational analysis and generalized differentiation such as the nonsmooth version of Fermat's rule, the limiting subdifferentia! of maximum functions, and the sum rules for the Frechet and Mordukhovich subdiHerentials to establish necessary conditions for (l...
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Trường Đại học Đà Lạt
2012
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oai:scholar.dlu.edu.vn:DLU123456789-310632023-10-27T14:41:44Z Proper andisolated efficiencies in multiobjective optimization problems Thái, Doãn Chương Optimality condition Isolated minimizer Ordukhovich subdifferential Multiobjective optimization. We employ some advanced tools of variational analysis and generalized differentiation such as the nonsmooth version of Fermat's rule, the limiting subdifferentia! of maximum functions, and the sum rules for the Frechet and Mordukhovich subdiHerentials to establish necessary conditions for (local) properly efficient solutions and (local) isolated minimizers of a multiobjective optimization problem involving inequality and equality constraints. Sufficient conditions for the existence of such solutions are also supplied under assumptions of (local) convex/affine functions or L-invex-infine functions defined in terms of the limiting subdifferential of locally Lipschitz functions. In addition, we propose a type of Wolfe dual problem and explore weak/strong duality relations under L-invexity-infineness hypotheses.Mathematics Subject Classification. 49J40, 49J53, 90C29. 2012-06-18T03:50:09Z 2012-06-18T03:50:09Z 2012 Article https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/31063 en Tạp chí Khoa học Đại học Đà Lạt, số 3a;tr. 23-31 application/pdf Trường Đại học Đà Lạt |
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English |
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Optimality condition Isolated minimizer Ordukhovich subdifferential Multiobjective optimization. |
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Optimality condition Isolated minimizer Ordukhovich subdifferential Multiobjective optimization. Thái, Doãn Chương Proper andisolated efficiencies in multiobjective optimization problems |
description |
We employ some advanced tools of variational analysis and generalized
differentiation such as the nonsmooth version of Fermat's rule, the limiting subdifferentia!
of maximum functions, and the sum rules for the Frechet and Mordukhovich
subdiHerentials to establish necessary conditions for (local) properly efficient solutions
and (local) isolated minimizers of a multiobjective optimization problem involving
inequality and equality constraints. Sufficient conditions for the existence of such
solutions are also supplied under assumptions of (local) convex/affine functions or
L-invex-infine functions defined in terms of the limiting subdifferential of locally Lipschitz
functions. In addition, we propose a type of Wolfe dual problem and explore
weak/strong duality relations under L-invexity-infineness hypotheses.Mathematics Subject Classification. 49J40, 49J53, 90C29. |
format |
Article |
author |
Thái, Doãn Chương |
author_facet |
Thái, Doãn Chương |
author_sort |
Thái, Doãn Chương |
title |
Proper andisolated efficiencies in multiobjective optimization problems |
title_short |
Proper andisolated efficiencies in multiobjective optimization problems |
title_full |
Proper andisolated efficiencies in multiobjective optimization problems |
title_fullStr |
Proper andisolated efficiencies in multiobjective optimization problems |
title_full_unstemmed |
Proper andisolated efficiencies in multiobjective optimization problems |
title_sort |
proper andisolated efficiencies in multiobjective optimization problems |
publisher |
Trường Đại học Đà Lạt |
publishDate |
2012 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/31063 |
_version_ |
1819790155529060352 |