"Streamlining Control Systems: Designing Reduced-Order Feedforward Controllers with Evolutionary Techniques" presents an innovative approach to control system design using evolutionary techniques. This research focuses on the development of reduced-order feedforward controllers that enhance control system efficiency while minimizing complexity. By employing evolutionary algorithms, this study demonstrates how to optimize the control system's performance, reduce computational demands, and streamline the design process. This abstract provides an overview of the methodology and benefits of incorporating evolutionary techniques in control system design.