This paper presents an extensive literature review covering conventional PID controllers, modern optimization methods, and their application in optimizing PID controllers for Maglev systems. Maglev technology has several advantages, including cheaper maintenance costs, more efficiency, and less power usage. It uses an electromagnetic force to hold items, such as metal balls, in mid-air. It does this by combining mechanical and electrical systems. Maglev systems are widely used in a variety of industries, such as transportation, healthcare, and power production and are essential for improving their operational efficiency. However, non-linear behavior, noise, and instability can affect Maglev systems and cause resonance, unintended accelerations, and disruptions. Optimization strategies are necessary to reduce possible difficulties and enhance system performance in light of these obstacles. In this study, different optimization approaches for PID controllers and Maglev systems are discussed, such as GW optimization and GA optimization. To demonstrate the efficacy of various optimization techniques, comparative studies are also provided, including evaluations using the Ziegler-Nichols (ZA) methodology and highlighted too in the paper.