Multiobjective quadratic fractional programming using iterative parametric function

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Abstract

The paper proposed the Model of multiobjective quadratic fractional optimisation problem with a set of quadratic constraints and a methodology for obtaining a set of solutions based on the approach of using iterative parametric functions. Firstly, each fractional objective function is transformed into non-fractional parametric objective function by assigning a vector of parameters to each objective function. In this approach, the Decision Maker(DM) predecides the desired tolerance levels of the objective functions in the form of termination constants. Then, by using ε-constraint method, a set of efficient solutions is obtained and termination conditions are checked for each parametric objective function. Also, a comparative study of the proposed method and fuzzy approach is given to reveal the validity of the method. A numerical for Multiobjective quadratic fractional programming Model (MOQFPM) is given in the end to check the applicability of the approach.

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Gupta, D., Kumar, S., & Goyal, V. (2019). Multiobjective quadratic fractional programming using iterative parametric function. International Journal of Innovative Technology and Exploring Engineering, 8(11), 2116–2121. https://doi.org/10.35940/ijitee.K2010.0981119

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