Hybrid algorithm with artificial fish swarm-particle swarm optimization for arrival sequencing and scheduling optimization.

Faced with the aircraft landing scheduling in the air traffic management, this paper proposed a hybrid algorithm (AFPSO) for scheduling arrival aircrafts with the least total delay. AFPSO algorithm combined the advantages both of artificial fish swarm algorithm (AFSA) and particle swarm optimization (PSO), searched satisfactory solution domain by AFSA and searched exact solution by PSO. The simulation results show that the AFPSO decreases the total delay time for single and double runways by 20. 9% and 34. 4% compare with first-come-first-serve (FCFS), by 3. 2% and 3. 5% compare with AFSA. A satisfactory solution of this AFPSO can provide real-time support for automatic air traffic management. [ABSTRACT FROM AUTHOR]