Airline scheduling is one of the most inevitable, exhausting, and time-consuming aspects of the aviation industry. For improving the schedules of different flights, it is indispensable to attain smooth and proper functioning. Generating optimized schedules of different airports, airline-wise using Gray Wolf Optimization (GWO) is the foremost objective of this systematic mapping. Each approach or technique has benefits and drawbacks of its own, and researchers apply a certain strategy to a problem based on its complexity and performance in order to get superior results. In essence, this methodical mapping examines how Grey Wolf Optimization (GWO) is applied. The fact that grey wolf optimization (GWO) has not yet been used for this problem statement is the driving force behind its application in aircraft scheduling. The methodology consists of several important steps. The problem of airline scheduling is first defined, along with its primary goals and constraints, as well as its decision-making factors, including aircraft assignments, flight paths, other crew members, and maintenance availability. After that, a variety of options are chosen, all of which include grey wolves. These answers relate to several itinerary installations. The best solutions are then chosen for the next generation using evaluation techniques. Airline scheduling must be done well since it has a direct impact on both customer satisfaction and operating costs. Therefore, it can be inferred from this methodical mapping that theorists and researchers who may wish to work on airline scheduling may find this study useful.