Cooling fans have many applications in industrial and electronic fields that remove heat away from the system. The process of designing a new cooling fan with optimal performance and reduced acoustic sources can be fairly lengthy and expensive. The effect of acoustics sources on the fan blades may induce an unpleasant aspect of noise. Noise reduction approaches are important for achieving a desirable noise level and comfortable environment in a community. Many numerical techniques have been applied as a step in product development using the Computational Fluid Dynamics (CFD) and Aeroacoustic Optimization approaches to assess the performance and the noise sources of a cooling fan. Reducing the acoustic surface power will contribute to developing a better cooling fan performance. Many experimental and control strategies have been employed to regulate the effect of the noise. The use of CFD with support of mesh morphing, along with the development of optimization techniques, can improve the acoustic’s performance of the fan model. This method will support the design process of a new cooling fan with improved performance and less acoustic surface power generated. In the present study we will focus on minimizing the acoustic surface power of a given cooling fan using the surface dipole acoustic power as the objective function, which will optimize the prototype design for a better performance. The Mesh Morpher Optimizer (MMO) in ANSYS Fluent in combination with the broadband acoustic modeling capabilities of the solver will be used. The broadband model estimates the acoustic power of the surface dipole sources on the surface on the blade without the need for expensive unsteady simulations. It has been shown in a previous study that such a model can provide reliable design guidance. Other acoustics sources (quadrupole noise) will be ignored given the relatively low speed of the fan considered in this study.