One of the most crucial issues of the twenty-first century has been the lack in the optimal use of renewable energy sources, along with emissions of hazardous gases such as CO2, CO, hydrocarbons, nitrous oxide (NOx), and environmental damage. Lawmakers and world leaders now view electric cars as an opportunity to reduce such environmental degradation. DC-DC converters are now needed for interfaces due to the growing integration of solar-powered systems and EVs (electric vehicles) with the current conventional generation. DC-DC converters must satisfy a number of objectives in order to improve system performance, including high energy density, low system ripple, low electromagnetic interference (EMI), and small size. For this reason, a DC-DC CUK converter (CC) is the best option to satisfy the criteria. The concept of modeling and operating a CC serves as the foundation for this work. The converter’s nonlinear model is linearized in order to carry out the modeling process. Particle Swarm Optimization and Genetic Algorithms are used to tune the controller’s settings. The findings indicate that when cascaded GA and PSO tuned controllers are used, responses (rising and settling times) and error specifications are better. Thus, it can be considered that the converter-connected controller element is capable of providing the system’s required outcomes.