Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique. (6th September 2016)
- Record Type:
- Journal Article
- Title:
- Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique. (6th September 2016)
- Main Title:
- Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique
- Authors:
- Mirdehghan, S. Morteza
Rostamzadeh, Hassan - Other Names:
- Ogryczak Wlodzimierz Academic Editor.
- Abstract:
- Abstract : Multiobjective linear fractional programming (MOLFP) problems are the important problems with special structures in multiobjective optimization. In the MOLFP problems, the objective functions are linear fractional functions and the constraints are linear; that is, the feasible set is a polyhedron. In this paper, we suggest a method to identify the efficiency status of the feasible solutions of an MOLFP problem. By the proposed method, an efficient projection on the efficient space for an inefficient solution is obtained. The proposed problems are constructed in linear programming structures.
- Is Part Of:
- Journal of optimization. Volume 2016(2016)
- Journal:
- Journal of optimization
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-09-06
- Subjects:
- Mathematical optimization -- Periodicals
Structural optimization -- Periodicals
Mathematical optimization
Structural optimization
Periodicals
Electronic journals
519.6 - Journal URLs:
- https://www.hindawi.com/journals/jopti/ ↗
http://bibpurl.oclc.org/web/74386 ↗ - DOI:
- 10.1155/2016/9175371 ↗
- Languages:
- English
- ISSNs:
- 2356-752X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10843.xml