Abstract
Linear fractional optimization differs from traditional methods in that the objective function in such problems has the form of a fraction, where the numerator and denominator are linear functions. Linear fractional optimization problems arise in many real-world situations when it is necessary to optimize the relationship between several parameters. Such problems often have a nonlinear nature, which complicates their solution using traditional linear programming methods. Therefore, one of the important areas of research is the linearization of such problems, which allows the application of effective linear optimization algorithms.