An efficient genetic algorithm with uniform crossover for air traffic control ?
Aircraft arrival sequencing and scheduling (ASS) is a major issue in the daily air traffic control (ATC) operations. This paper reports on the application of genetic algorithms (GAs) to tackle the ASS problem in multi-runway systems. Most existing GAs for ASS are confronted with feasibility and efficiency problems in the design of their evolutionary operators, particularly the crossover. The new GA reported in this paper uses the following relationship between aircraft to construct chromosomes. This makes it possible to design a highly efficient crossover operatoruniform crossover, which is hardly applicable to those GAs designed directly based on the order of aircraft in arrival queues. The main benefit from the proposed uniform crossover operator is the effectiveness and efficiency in identifying, inheriting and protecting common sub-traffic-sequences without sacrificing the capability of diversifying chromosomes, which is demonstrated in the extensive comparative simulation study. By adopting the strategy of receding horizon control, the reported GA exhibits a good potential of real-time implementation in the ASS problem.
genetic algorithm uniform crossover air traffic control multi-runway systems following relationship scheduling and sequencing