2007
DOI: 10.1016/j.jmaa.2006.09.073
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Set-valued increasing-along-rays maps and well-posed set-valued star-shaped optimization

Abstract: In this paper we introduce a class of set-valued increasing-along-rays maps and present some properties of set-valued increasing-along-rays maps. We show that the increasing-along-rays property of a set-valued map is close related to the corresponding set-valued star-shaped optimization. By means of increasingalong-rays property, we investigate stability and well-posedness of set-valued star-shaped optimization.

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Cited by 8 publications
(3 citation statements)
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References 27 publications
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“…Well-posedness of optimization problems was first studied by Tykhonov [1] in 1966. Since then, the notions of well-posedness have been extended to different kinds of optimization problems (see [2,3,4,5,6,7]). In the book edited by Lucchetti and Revalski [8], Loridan gave a survey on some theoretical results of well-posedness, approximate solutions and variational principles in vector optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Well-posedness of optimization problems was first studied by Tykhonov [1] in 1966. Since then, the notions of well-posedness have been extended to different kinds of optimization problems (see [2,3,4,5,6,7]). In the book edited by Lucchetti and Revalski [8], Loridan gave a survey on some theoretical results of well-posedness, approximate solutions and variational principles in vector optimization.…”
Section: Introductionmentioning
confidence: 99%
“…Some authors have extended and studied the notion of well-posedness for setvalued vector optimization problems (see e.g., Hu and Fang 2007;Fang et al 2007;Xu and Zhang 2011). The notion of well-posedness for set optimization problems was first given by Zhang et al (2009).…”
Section: Introductionmentioning
confidence: 99%
“…Well-posedness of optimization problems was first studied by Tykhonov [1] in 1966. Since then, the notion of wellposedness has been extended to different kinds of optimization problems (see [2][3][4][5]). In the book edited by Lucchetti and Revalski [6], Loridan gave a survey on some theoretical results of well-posedness, approximate solutions, and variational principles in vector optimization.…”
Section: Introductionmentioning
confidence: 99%