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.
Lagrangian Duality for Preinvex Set-Valued Functions
β Scribed by Davinder Bhatia; Aparna Mehra
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 198 KB
- Volume
- 214
- Category
- Article
- ISSN
- 0022-247X
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β¦ Synopsis
In this paper, generalizing the concept of cone convexity, we have defined cone preinvexity for set-valued functions and given an example in support of this generalization. A FarkasαMinkowski type theorem has been proved for these functions. A Lagrangian type dual has been defined for a fractional programming problem involving preinvex set-valued functions and duality results are established.
π SIMILAR VOLUMES
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