Suggested genetic algorithm for solving linear fractional programming with application

In this paper we deal with the optimal solution for linear fractional programming problem . our idea is based on transforming the objective function and constraints with applying the genetic algorithm to find maximum number of units with maximum value of the objective function which represent a ratio between profit and cost, then we applied it in the Spinning and weaving factory.