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A Linearization to the Sum of Linear Ratios Programming Problem

Author

Listed:
  • Mojtaba Borza

    (Department of Mathematical Sciences, Faculty of Science & Technology, UKM Bangi, Selangor 43600, Malaysia)

  • Azmin Sham Rambely

    (Department of Mathematical Sciences, Faculty of Science & Technology, UKM Bangi, Selangor 43600, Malaysia)

Abstract

Optimizing the sum of linear fractional functions over a set of linear inequalities (S-LFP) has been considered by many researchers due to the fact that there are a number of real-world problems which are modelled mathematically as S-LFP problems. Solving the S-LFP is not easy in practice since the problem may have several local optimal solutions which makes the structure complex. To our knowledge, existing methods dealing with S-LFP are iterative algorithms that are based on branch and bound algorithms. Using these methods requires high computational cost and time. In this paper, we present a non-iterative and straightforward method with less computational expenses to deal with S-LFP. In the method, a new S-LFP is constructed based on the membership functions of the objectives multiplied by suitable weights. This new problem is then changed into a linear programming problem (LPP) using variable transformations. It was proven that the optimal solution of the LPP becomes the global optimal solution for the S-LFP. Numerical examples are given to illustrate the method.

Suggested Citation

  • Mojtaba Borza & Azmin Sham Rambely, 2021. "A Linearization to the Sum of Linear Ratios Programming Problem," Mathematics, MDPI, vol. 9(9), pages 1-10, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:1004-:d:545738
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    References listed on IDEAS

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