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Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique
Joint Authors
Mirdehghan, S. Morteza
Rostamzadeh, Hassan
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mirdehghan, S. Morteza& Rostamzadeh, Hassan. 2016. Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique. Journal of Optimization،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110156
Modern Language Association (MLA)
Mirdehghan, S. Morteza& Rostamzadeh, Hassan. Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique. Journal of Optimization No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1110156
American Medical Association (AMA)
Mirdehghan, S. Morteza& Rostamzadeh, Hassan. Finding the Efficiency Status and Efficient Projection in Multiobjective Linear Fractional Programming: A Linear Programming Technique. Journal of Optimization. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110156
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110156