Solving aircraft-sequencing problem based on bee evolutionary genetic algorithm and clustering method

8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009

Volumn , Issue , 2009, Pages 157-161

  Wang, Siliang ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Air traffic control; Aircraft sequencing problem; Bee evolutinary genetic algorithm; Clustering algorithm

Indexed keywords

ABSOLUTE POSITION; AIRCRAFT SEQUENCING PROBLEM; ARRIVAL TIME; BEE EVOLUTINARY GENETIC ALGORITHM; CLUSTERING METHODS; CONVERGENCE SPEED; CROSSOVER AND MUTATION; DISTRIBUTION OF CLUSTER; HYBRID ALGORITHMS; MULTI-CONSTRAINTS; NP-HARD PROBLEM; OPTIMAL SOLUTIONS; SEQUENCING PROBLEMS;

AIR TRAFFIC CONTROL; AIRCRAFT; AIRCRAFT CONTROL; AIRPORT BUILDINGS; CLUSTER ANALYSIS; CONTROL TOWERS; GENETIC ALGORITHMS; GENETIC ENGINEERING; LANDING; MATHEMATICAL OPERATORS;

CLUSTERING ALGORITHMS;

EID: 77950560769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DASC.2009.26     Document Type: Conference Paper

References (10)

1. Beasley J E, et al, "Scheduling aircraft landings- the static case," Transport Science, 2000,33:180-197
2. R. G. Dear, "The dynamic scheduling of aircraft in the near terminal area," Flight Transportation Laboratory Report R76-9, M. I. T, Sep 1976.
3. J. E. Beasley, J. Sonander, and P. Havelock, Scheduling aircraft landings at London Heathrow using a population heuristic," Journal of the Operational Research Society,vol. 52, no. 5, pp. 483-493,May 2001.
4. V. Ciesielski and P. Scerri, "Real time genetic scheduling of aircraft landing times," Proceedings of the IEEE Conference on Evolutionary Computation, ICEC, 1998, pp. 360-364.
5. L. K. McGovern and E. Feron, "Closed-loop stability of systems driven by real-time, dynamic optimization algorithms," Proceedings of the 38th IEEE Conference on Decision and Control, vol. 4, pp.3690-3696, Dec. 1999.
6. Cheng V H L,Crawford L S ,Menon P K. "Air traffic control using genetic search techniques,"Proceedings of the 1999 IEEE International Conference on Lontrol Applications,1999,1:249-254.
7. Sung Hoon Jung. "Queen-bee evolution for genetic algorithms," Electronics Letters, 2003,39(6):575-576.
8. Ding C, He X. K-Nearest-Neighbor in data clustering: Incorporating local information into global optimization. In: Proc. of the ACM Symp. on Applied Computing. Nicosia: ACM Press,2004. 584-589. http://www.acm.org/conferences/sac/ sac2004/:
9. R. Hoffman and M.O. Ball. "A comparison of formulations for the single-airport ground-holding problem with banking constraints," Operations Research, 48(4):578-591, 2000.
10. J. J. Grefenstette, R. Gopal, B. J. Rosmaita, and D. V. Gucht,"Genetic algorithms for the traveling salesman problem," Proc. 1stInt. Conf. Genetic Algorithms, pp. 160-168, 1985.