Efficiency for a generalized form of vector optimization problems in complex space. (2nd June 2016)
- Record Type:
- Journal Article
- Title:
- Efficiency for a generalized form of vector optimization problems in complex space. (2nd June 2016)
- Main Title:
- Efficiency for a generalized form of vector optimization problems in complex space
- Authors:
- Elbrolosy, Mamdouh E.
- Abstract:
- Abstract : A generalized form of vector optimization problems in complex space is considered, where both the real and the imaginary parts of the objective functions are taken into account. The efficient solutions are defined and characterized in terms of optimal solutions of related appropriate scalar optimization problems. These scalar problems are formulated by means of vectors in the dual of the domination cone. Under analyticity hypotheses about the functions, complex extensions to necessary and sufficient conditions for efficiency of Kuhn–Tucker type are established. Most of the corresponding results of previous studies (in both finite-dimensional complex and real spaces) can be recovered as particular cases.
- Is Part Of:
- Optimization. Volume 65:Number 6(2016)
- Journal:
- Optimization
- Issue:
- Volume 65:Number 6(2016)
- Issue Display:
- Volume 65, Issue 6 (2016)
- Year:
- 2016
- Volume:
- 65
- Issue:
- 6
- Issue Sort Value:
- 2016-0065-0006-0000
- Page Start:
- 1245
- Page End:
- 1257
- Publication Date:
- 2016-06-02
- Subjects:
- vector optimization -- complex space -- efficient solutions -- scalarization -- optimality conditions
90C29 -- 90C30 -- 90C46
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2015.1104680 ↗
- 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:
- 1221.xml