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Conjugate Duality in Set-Valued Vector Optimization

✍ Scribed by Wen Song

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
236 KB
Volume
216
Category
Article
ISSN
0022-247X

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✦ Synopsis

In this paper, conjugate duality results for convexlike set-valued vector optimization problems are presented under closedness or boundedness hypotheses. Some properties of the value mapping of a set-valued vector optimization problem are studied. A conjugate duality result is also proved for a convex set-valued vector optimization problem without the requirements of closedness and boundedness.

πŸ“œ SIMILAR VOLUMES

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