Solving Multi Objective Linear Fractional Programming Problem Under Uncertainty via Robust Optimization Approach
DOI:
https://doi.org/10.26713/jims.v11i2.976Keywords:
Box uncertainty, Multi objective programming, Linear fractional programming, Robust optimizationAbstract
In this article, a Multi Objective Linear Fractional Programming (MOLFP) problem with uncertain data in the objective function and the relationship between its Robust Counterpart (RC) formulations is studied. We use box uncertainty set for MOLFP problem and propose an approach to derive its corresponding RC formulation by reducing it into a single objective programming problem. It is shown that the corresponding RC formulation of MOLFP problem under box uncertainty set is a Linear Programming (LP) problem. A numerical example is worked out to illustrate the methodology and proposed approach.
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