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A new method for solving linear fractional programming problem with absolute value functions

Author

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  • Sapan Kumar Das
  • S.A. Edalatpanah
  • Tarni Mandal

Abstract

In this paper, we propose a new model for linear fractional programming problem with absolute value functions. The major contribution of this paper is that transformation of linear fractional programming problem into separate linear programming problems with some theorems and then solution of these problems by popular algorithm. This work also used to simplex type algorithms to arrive at an optimal solution for a linear programming problem with absolute value. Moreover, we compare this method with an existing method. Numerical experiments are also given to illustrate the assertions.

Suggested Citation

  • Sapan Kumar Das & S.A. Edalatpanah & Tarni Mandal, 2019. "A new method for solving linear fractional programming problem with absolute value functions," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 36(4), pages 455-466.
    • Handle: RePEc:ids:ijores:v:36:y:2019:i:4:p:455-466
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    Cited by:

    1. Vandana Goyal & Namrata Rani & Deepak Gupta, 2022. "An algorithm for quadratically constrained multi-objective quadratic fractional programming with pentagonal fuzzy numbers," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 32(1), pages 49-71.

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