Multi-objective optimization approach for air traffic flow management

Rabie Fadil, Badr Abou El Majd, Hicham Rahil, Hassan El Ghazi, Naima Kaabouch, B. Abou El Madj, M. Bouya
2017 MATEC Web of Conferences  
objective optimization approach for air traffic flow management. MATEC Web of Conferences, EDP sciences, 2017, 105, pp. Abstract. Air traffic has long been a generally high growth sector and all forecasts indicate that this trend will continue at a similar pace for the next twenty years. The regular traffic demand growth has led to congestion at airports and in space. In this paper, we will create in first a probabilistic model which describes the uncertainty of the aircraft's trajectory, and
more » ... s trajectory, and its presence in a sector during a time interval. We define as result, a multi-objective optimization problem whose objective functions are the expected cost of delay and the expected cost of congestion. Then we use the Non-dominated Sorting Genetic Algorithm (NSGA-II) to solve an instance included 21 flights and 1 sector, and is able to provide a good approximation of the Pareto front. The decision-making stage was then performed with the aid of data clustering techniques to reduce the size of the Pareto-optimal set and obtain a smaller representation of the multi-objective design space, thereby making it easier for the decision-maker to find satisfactory and meaningful trade-offs, and to select a preferred final design solution.
doi:10.1051/matecconf/201710500005 fatcat:rzufjqz3qfddljz3a7idygttqm