Proper efficiency in linear fractional vector optimization via Benson's characterization. (2nd January 2023)
- Record Type:
- Journal Article
- Title:
- Proper efficiency in linear fractional vector optimization via Benson's characterization. (2nd January 2023)
- Main Title:
- Proper efficiency in linear fractional vector optimization via Benson's characterization
- Authors:
- Huong, N. T. T.
Wen, C.-F.
Yao, J.-C.
Yen, N. D. - Abstract:
- Abstract : Linear fractional vector optimization problems are special non-convex vector optimization problems. They were introduced and first studied by E.U. Choo and D.R. Atkins in the period 1982–1984. This paper investigates the properness in the sense of Geoffrion of the efficient solutions of linear fractional vector optimization problems with unbounded constraint sets. Sufficient conditions for an efficient solution to be Geoffrion's properly efficient solution are obtained via Benson's characterization [An improved definition of proper efficiency for vector maximization with respect to cones. J Math Anal Appl. 1979;71:232–241] of Geoffrion's proper efficiency.
- Is Part Of:
- Optimization. Volume 72:Number 1(2023)
- Journal:
- Optimization
- Issue:
- Volume 72:Number 1(2023)
- Issue Display:
- Volume 72, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 72
- Issue:
- 1
- Issue Sort Value:
- 2023-0072-0001-0000
- Page Start:
- 263
- Page End:
- 276
- Publication Date:
- 2023-01-02
- Subjects:
- Linear fractional vector optimization -- efficient solution -- Geoffrion's properly efficient solution -- Benson's characterization -- tangent cone
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2022.2041012 ↗
- Languages:
- English
- ISSNs:
- 0233-1934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25504.xml