Skip to main content

Solving Multi-Objective Linear Fractional Programming Problem - First Order Taylor's Series Approximation Approach

  • Conference paper
  • First Online:
Computational Intelligence, Cyber Security and Computational Models

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 246))

Abstract

In this paper, a method is proposed for solving multi-objective linear fractional programming (MOLFP) problem. Here, the MOLFP problem is transformed into an equivalent multi-objective linear programming (MOLP) problem. Using the first-order Taylor's series approximation, the MOLFP problem is reduced to single-objective linear programming (LP) problem. Finally, the solution of MOLFP problem is obtained by solving the resultant LP problem. The proposed procedure is verified with the existing methods through the numerical examples.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. H.I. Calvete, and C. Gale, “A penalty method for solving bilevel linear fractional programming/linear programming problems”, Asia-Pacific Journal of Operational Research 21, 207–224, 2004.

    Google Scholar 

  2. A. Charnes, and W.W. Cooper, W W, “Programming with linear fractional functionals”, Nav. Res. Logistics Quart. 9, 181–186, 1962.

    Google Scholar 

  3. M. Chakraborty, and S. Gupta, “Fuzzy mathematical programming for multi objective linear fractional programming problem”, Fuzzy Sets and Systems 125, 335–342, 2002.

    Google Scholar 

  4. J.P. Costa, “An interactive method for multiple objective linear fractional programming problems”, OR Spectrum, 27, 633–652, 2005.

    Google Scholar 

  5. W. Dinkelbach, “On nonlinear fractional programming”, Manage. Sci. 13, 492–498, 1967.

    Google Scholar 

  6. D. Dutta, R.N. Tiwari, and J.R. Rao, “Multiple objective linear fractional programming—A fuzzy set theoretic approach”, Fuzzy Sets and Systems 52, 39–45, 1992.

    Google Scholar 

  7. P.C. Gilmore, and R.E. Gomory, “A linear programming approach to the cutting stock problem. Part II”, Operational Research, 11, 863–888, 1963.

    Google Scholar 

  8. J.S.H. Kornbluth, and R.E. Steuer, “Goal programming with linear fractional criteria”, European J. Operational Research, 8, 58–65, 1981.

    Google Scholar 

  9. J.S.H. Kornbluth, and R.E. Steuer, “Multiple objective linear fractional programming”, Manage. Sci. 27, 1024–1039, 1981.

    Google Scholar 

  10. M.K. Luhandjula, “Fuzzy approaches for multiple objective linear fractional optimization”, Fuzzy Sets and Systems 13, 11–23, 1984.

    Google Scholar 

  11. S. Mishra, “Weighting method for bi-level linear fractional programming problems”, European Journal of Operational Research, 183, 296–302, 2007.

    Google Scholar 

  12. Neelam Malhotra and S.R. Arora, “An algorithm to solve linear fractional bi-level programming problem via goal programming”, OPSEARCH, 37, 1–13, 2000.

    Google Scholar 

  13. I. Nykowski, and Z. Zolkiewski, “A compromise procedure for the multiple objective linear fractional programming problem”, European Journal of Operational Research. 19, 91–97, 1985.

    Google Scholar 

  14. S. Schaible, “Fractional programming I: duality”, Manage. Sci. 22, 658–667, 1976.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. Veeramani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this paper

Cite this paper

Veeramani, C., Sumathi, M. (2014). Solving Multi-Objective Linear Fractional Programming Problem - First Order Taylor's Series Approximation Approach. In: Krishnan, G., Anitha, R., Lekshmi, R., Kumar, M., Bonato, A., Graña, M. (eds) Computational Intelligence, Cyber Security and Computational Models. Advances in Intelligent Systems and Computing, vol 246. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1680-3_38

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1680-3_38

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1679-7

  • Online ISBN: 978-81-322-1680-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics