Title :
Strategy for aircraft sequencing based on artificial fish school algorithm
Author :
Fei, Wang ; Xiaohao, Xu ; Jing, Zhang
Author_Institution :
Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
A hybrid algorithm is developed in this paper, which is based on artificial fish school algorithm (AFSA) and combined with GA and SA algorithm The new algorithm is used to solve aircraft landing sequence problem. Compared with some other intelligent algorithms, the algorithm is more efficient and practical.
Keywords :
aerospace computing; artificial intelligence; genetic algorithms; simulated annealing; aircraft landing sequence problem; aircraft sequencing strategy; artificial fish school algorithm; genetic algorithms; intelligent algorithms; Aircraft; Analytical models; Educational institutions; Marine animals; Performance analysis; AFSA; Air Traffic Flow Management; Aircraft Sequencing; GA; Terminal Area;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597436
