Synchronization and optimization of arrival and departure plans of airline passenger aircraft

Air travel became more attractive since humanity has learned to fly, and it is preferred for long distance travels because long distances are covered in a short time. Air travels continuously increased in Turkey and the world. The volume of passengers in Turkey increased in domestic and international lines. Synchronization and optimization of international and domestic flights are important for passenger maximization. Some of passengers don't stay in the city of the main Airport in the country or there is no direct flight to their destination, so they have to book two flights at least. But naturally humans don't like waiting. In case of long transit time, they tend to book from another airline company. In this study, we will try to maximize total passenger number between arrival and departure. Since the problem is a complex problem, a mathematical model will be developed and solved for a small-scale problem. Since too many constraints and variables are required, metaheuristics will be applied to solve the problem practically instead of the mathematical model in large-scale problems and will provide a good solution in a reasonable time even if it does not give optimum results. Genetic algorithms (GA), which are popular in the world, and particle swarm optimization (PSO) metaheuristics, which are recently developed and used in many studies, are used in complex problems and we think that they are suitable for this problem.