Effect of Variations in Combination of Objective Function’s Weighted Coefficient on Optimization of Aerodynamics of an Axial Compressor

In this study optimization of objective function of axial compressor by using Genetic Algorithm with weighted method has been investigated. The effects of variations in combination of different weighted coefficients of objective function on optimization have been carried out. The objective function contains linear isentropic efficiency and static pressure rise coefficient by considering mean stage diameter, angle of inlet air at rotor and flow coefficient. In each steps of optimization the fitness function is created by weighted coefficients and the new objective function is produced and the new optimization problem has been established. The effect of variations in weighted coefficients on objective function was studied. Results showed that the objective function has been reduced in each step which explains the optimization has been achieved.