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Conjugate duality in vector optimization

✍ Scribed by Tetsuzo Tanino

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
536 KB
Volume
167
Category
Article
ISSN
0022-247X

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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 conv

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In this note, a general cone separation theorem between two subsets of image space is presented. With the aid of this, optimality conditions and duality for vector optimization of set-valued functions in locally convex spaces are discussed.