A hybrid metaheuristic for multiple runways aircraft landing problem based on bat algorithm

Journal of Applied Mathematics

Volumn 2013, Issue , 2013, Pages

  Xie, Jian ^a   Zhou, Yongquan ^a,b   Zheng, Hongqing ^a  

^a GUANGXI UNIVERSITY FOR NATIONALITIES   (China)

^b Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84884220159     PISSN: 1110757X     EISSN: 16870042     Source Type: Journal    
DOI: 10.1155/2013/742653     Document Type: Article

References (18)

1. Beasley J. E., Krishnamoorthy M., Sharaiha Y. M., Abramson D., Scheduling aircraft landings-the static case. Transportation Science 2000 34 2 180 197 2-s2.0-0034187636
2. Pinol H., Beasley J. E., Scatter search and bionomic algorithms for the aircraft landing problem. European Journal of Operational Research 2006 171 2 439 462 2-s2.0-28244491662 10.1016/j.ejor.2004.09.040
3. Bennell J. A., Mesgarpour M., Potts C. N., Airport runway scheduling. Annals of Operations Research 2013 204 249 270 10.1007/s10479-012-1268-1
4. Brentnall A. R., Cheng R. C. H., Some effects of aircraft arrival sequence algorithms. Journal of the Operational Research Society 2009 60 7 962 972 2-s2.0-67650273588 10.1057/palgrave.jors.2602636
5. Wen M., Algorithms of Scheduling Aircraft Landing Problem 2005 Lyngby, Denmark Technical University of Denmark, DTU
6. Bäuerle N., Engelhardt-Funke O., Kolonko M., On the waiting time of arriving aircrafts and the capacity of airports with one or two runways. European Journal of Operational Research 2006 177 2 1180 1196 2-s2.0-33750431690 10.1016/j.ejor.2006.01.002
7. Hu X.-B., Di Paolo E., An efficient genetic algorithm with uniform crossover for air traffic control. Computers and Operations Research 2009 36 1 245 259 2-s2.0-44849133187 10.1016/j.cor.2007.09.005
8. Bencheikh G., Boukachour J., Alaoui A. E. H., Improved ant colony algorithm to solve the aircraft landing problem. International Journal of Computer Theory and Engineering 2011 3 2 224 233
9. Salehipour A., Modarres M., Moslemi N. L., An efficient hybrid meta-heuristic for aircraft landing problem. Computers & Operations Research 2013 40 1 207 213
10. Yu S.-P., Cao X.-B., Zhang J., A real-time schedule method for aircraft landing scheduling problem based on cellular automation. Applied Soft Computing Journal 2011 11 4 3485 3493 2-s2.0-79954625110 10.1016/j.asoc.2011.01.022
11. Hancerliogullari G., Rabadi G., Al-Salem A. H., Kharbeche M., Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem. Journal of Air Transport Management 2013 32 39 48 10.1016/j.jairtraman.2013.0 6.0 01
12. Briskorn D., Stolletz R., Aircraft landing problems with aircraft classes. Journal of Scheduling 2013 1 15 10.1007/s10951-013-0337-x
13. Yang X. S., A new metaheuristic bat-inspired algorithm. Nature Inspired Cooperative Strategies for Optimization (NICSO '10) 2010 Berlin, Germany Springer 65 74
14. Gandomi A. H., Yang X. S., Alavi A. H., Talatahari S., Bat algorithm for constrained optimization tasks. Neural Computing and Applications 2013 22 6 1239 1255 10.1007/s00521-012-1028-9
15. Yang X. S., Gandomi A. H., Bat algorithm: a novel approach for global engineering optimization. Engineering Computations 2012 29 5 464 483
16. Mishra S., Shaw K., Mishra D., A new meta-heuristic bat inspired classification approach for microarray data. Procedia Technology 2012 4 802 806
17. Xie J., Zhou Y., Chen H., A novel bat algorithm based on differential operator and Lévy-flights trajectory. Computational Intelligence and Neuroscience 2013 2013 13 453812 10.1155/2013/453812
18. Wang G., Guo L., Duan H., Liu L., Wang H., A bat algorithm with mutation for UCAV path planning. The Scientific World Journal 2012 2012 15 10.1100/2012/418946 418946