Contents & References of Integration of colonial competition algorithm and quick selection of preparation time in solving the aircraft sequence planning problem
List:
Introduction of the proposed plan.. 1
1-1- Introduction.. 2
1-2- Subject plan.. 4
1-3- Assumptions, limitations. 6
1-4- Research objectives.. 8
5-1- An aspect of newness and innovation. 9
6-1- The results of the research. 9
1-7- The structure of the thesis.. 10
2- Review of past works. 11
2-1- Introduction.. 12
2-2- Aircraft landing sequence. 12
2-3- Allocating passenger entry. 15
2-4- The background of the research.. 17
2-5- The linear programming model of the program. 21
3- Proposed method.. 25
3-1- Proposed solution.. 26
3-2- Evolutionary algorithm.. 26
3-2-1- Introduction.. 26
3-2-2- The reason for using evolutionary algorithms. 29
3-2-3- types of evolutionary algorithms. 29
3-3- Colonial competition algorithm. 32
3-3-1- Formation of the early empire. 34
3-3-2- Modeling the recruitment policy. 38
3-3-3- Changing the position of the colony and the imperialist. 41
3-3-4- The total power of an empire. 42
3-3-5- Colonial competition. 43
3-3-6- The fall of weak empires. 46
3-3-7- Convergence.. 46
3-4- Corrective colonial competition algorithm. 48
5-3- Combined algorithms used. 51
4- System evaluation.. 53
4-1- Introduction.. 54
4-2- Modeling of the proposed method. 55
4-3- Evaluation of the proposed solution. 56
4-4- Comparative issues. 59 4-4-1- Comparison of the results of incoming and outgoing flights in the number of 15. 59 4-4-2- Comparison of the results of incoming and outgoing flights in the number of 20. 61 4-4-3- Comparison of the results of incoming and outgoing flights in the number of 25. 62 5- Conclusion and presentation of suggestions. 64
5-1- The aspect of innovation.. 65
5-2- The result of comparing the results. 65
5-3- Suggestions.. 66
6- References.. 67
Source:
David Gianazza, Kevin Guittet. (2009). Selection and evaluation of air traffic complexity metrics. Nils Boysen, Malte Fliedner. (2011). Scheduling aircraft landings to balance workload of ground staff. Computers & Industrial Engineering 60,206-217
David Gianazza, Jean-Marc Alliot, Géraud Granger. (2012).Optimal combinations of Air Traf?c Control sectors using classical and stochastic methods
M.A.Christodoulou and C.Kontogeorgou. (2008). A novel algorithm for collision avoidance in commercial aircraft using neural networks and non-linear programming. 16th Mediterranean Conference on Control and Automation Congress Center, 25-27
Gustafsolveling, Senay Solak, John-Paul B. Clarke, Ellis L. Johnson. (2011). Scheduling of runway operations for reduced environmental impact. Transportation Research Part D
Marcella Samà, Andrea D'Ariano, Dario Pacciarelli. (2013). Rolling Horizon Approach for Aircraft Scheduling in the Terminal Control Area of ??Busy Airports. Social and Behavioral Sciences 80.531 – 552
Marcella Samà, Andrea D'Ariano, Dario Pacciarelli. (2012). Optimal aircraft traffic flow management at a terminal control area during disturbances
Gulsah Hancerliogullari, Ghaith Rabadi, Ameer H. Al-Salem, Mohamed Kharbeche. (2013) Greedy algorithms and metaheuristics for a multiple runway combined arrival-departure aircraft sequencing problem. Journal of Air Transport Management 32, 39-48
Zheng Lei, Zhang Jun, Zhu Yanbo. (2009). Affinity Propagation Clustering Classification Method For Aircraft In Arrival And Departure Sequencing
Salvatore Capri, Matteo Ignaccolo, (2004), Genetic algorithms for solving the aircraft-sequencing problem: the introduction of departures into the dynamic model, Journal of Air Transport Management 10 (2004) 345-351
Bennell, J. A. Mesgarpour, M. Potts, C. N. (2011). Airport runway scheduling, OR: Quarterly Journal of Operations Research, 9(2), 115-138
Dear, R. G. (1976). The dynamic scheduling of aircraft in the near terminal area. MIT Flight Transportation Laboratory Report R76-9, MIT, Cambridge, MA, USA.
Psaraftis,.
Psaraftis, H. N. (1980). Dynamic programming approach for sequencing groups of identified jobs, Operations Research, 28, 1347-1359.
Bianco, L. Rinaldi, G. & Sassano, A. (1987). A combinatorial optimization approach to aircraft sequencing problem. Flow Control of Congested Networks. NATO AS I series, 38, 323-339.
Bianco, L. Dell'Olmo, P. & Giordani, S. (1997). Scheduling models and algorithms for TMA traffic management. Modeling and Simulation in Air Traffic Management. Springer, 139-167.
Beasley, J. E. Krishnamoorthy, M. Sharaiha, Y. M. Abramson, D. (2000). Scheduling aircraft landings-the static case, Transportation Science, 34(2), 180-197.
Wen, M. Larsen, J. Clausen, J. (2005). An exact algorithm for Aircraft Landing Problem, Technical University of Denmark.
Gupta, G. Malik, W. and Jung, Y. C. (2009). A mixed integer linear program for airport departure scheduling, 9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO). AIAA, Hilton Head, South Carolina.
Sherali, H. D. Ghoniem, A. Baik, H. Trani, A. A. and (2012). Enhanced formulations for a combined arrival-departure aircraft sequencing problem, Manuscript, Grado Department of Industrial and Systems Engineering (0118). Virginia Polytechnic Institute and State University, 250 Durham Hall, Blacksburg, VA 24061.
Dear, R. G. & Sherif, Y.S. (1989). The dynamic scheduling of aircraft in high density terminal areas. Microelectrons Reliability, 29, 743–749.
Dear, R. G. and Y. S. Sherif (1991). An algorithm for computer assisted sequencing and scheduling of terminal area operations, Transportation Research, 25A:129-139.
Yu, S. P. Cao, X. B. Zhang, J. (2011). A real-time schedule method for aircraft landing scheduling problem based on cellular automaton, Applied Soft Computing Journal.
Beasley, J. E. Krishnamoorthy, M. Sharaiha, Y. M. Abramson, D. (2000). Scheduling aircraft landings-the static case, Transportation Science, 34(2), 180-197.
Beasley, J. J. Sonander and P. Havelock (2001). Scheduling aircraft landings at London Heathrow using a population heuristic, Journal of the Operational Research Society, 52, 483-493
Hu, X. B. and Chen, W. H. (2005). Genetic algorithm based on receding horizon control for arrival sequencing and scheduling, Eng. Appl. Artif. Intel. 18(5), 633–642.
Hu, X. B. and Paolo, E. D. (2008). Binary-representation-based genetic algorithm for aircraft arrival sequencing and scheduling, IEEE Transactions on Intelligent Transportation System, 9(2), 301–310
Liu, Y. H. (2010). A genetic local search algorithm with a threshold accepting mechanism for solving the runway dependent aircraft landing problem, Optimization Letters, 5(2), 229-245.
Atkin, J.A.D. Burke, E.K. Greenwood, J.S. and Reeson, D. (2007). Hybrid metaheuristics to aid runway scheduling at London Heathrow Airport, Transportation Science, 41 (1), 90-106
Atkin, J.A.D. Burke, E.K. Greenwood, J.S. and Reeson, D. (2008). A meta-heuristic approach to departure scheduling at London Heathrow airport, Computer Aided Systems of Public Transport.
Lee, Y. H. & Pinedo, M. (1997). Theory and methodology: Scheduling jobs on parallel machines with sequence-dependent setup times. European Journal of Operational Research,100,464-474.
Pfund, M. Fowler, J. W. Gadkari, A. & Chen, Y. (2008). Scheduling jobs on parallel machines with setup times and ready times, Computers and Industrial Engineering, 54, 764–782.
Chen, J. F, (2009). Scheduling on unrelated parallel machines with sequence- and machine-dependent setup times and due-date constraints. International Journal of Advanced Manufacturing Technologies, 44, 1204-1212
Lin, S. W. Lu, C. C. Ying, K. C. (2011).