Improved Quantum Artificial Fish Swarm Algorithm For Scheduling Arrival Landing
the task of Aircraft Landing Scheduling (ALS) is to give a landing sequence and landing times for a given set of aircrafts where many constraints must be satisfied, such as safety and utilization rate of the facilities.It built a model for effective scheduling arrival landings based on le objective function is the minimum total delay.This paper proposed an improved quantum artificial fish swarm (IQAF) algorithm for the problem based on artificial fish swarm algorithm (AFSA), lusing the encoding method in quantum evi Intionary algorithm (QEA) and the thought of updating pheromone in ant colony algorithm (ACA). The computational result was compared wi(h firstcomc-first-serve (FCFS) algorithm and artificial fish swarm algorithm (AFSF).Comparative experiments show that the improved quantum artificial fish swarm algorithm is able to obtain an optimal landing sequence rapld! and effectively.
AFSA quantum evolutionary algorithm (QEA) landing sequencing
An-na Sun Li-xia Yu Ya-ping Zhang Bin Xu
Tianjin University,School of Computer Science And Technology,Tianjin,300072 Tianjin University,School of Computer Science And Technology,Tianjin.300072 Tianjin University,School of Computer Software Tianjin,300072
国际会议
成都
英文
466-469
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）