Abstract
One of the most challenging optimization problems in air traffic control is minimizing the deviation of aircraft arrival times from its target landing time. This can be achieved by efficiently allocating landing times and runways to the arriving aircraft. This problem is called the Aircraft Landing Problem (ALP). To address the ALP, this paper proposes a new approach which combines the Simulated Annealing (SA) algorithm with an exact timing method. The problem is solved in two stages: first, the optimal sequence is generated using the SA; in the second stage, the optimal landing time is determined using the exact timing method. The proposed approach is tested with \( 500 \) aircraft and a single runway using a well-known benchmark dataset from the scientific literature. The obtained results demonstrated the ability of the proposed approach to generate promising and competitive results.
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Al-Betar, M.A., Khader, A.T.: A hybrid harmony search for university course timetabling. In: Proceedings of the 4th Multidisciplinary Conference on Scheduling: Theory and Applications (MISTA 2009), Dublin, Ireland, pp. 157–179 (2009)
Girish, B.S.: An efficient hybrid particle swarm optimization algorithm in a rolling horizon framework for the aircraft landing problem. Appl. Soft Comput. 44, 200–221 (2016)
Beasley, J.E., Krishnamoorthy, M., Sharaiha, Y.M., Abramson, D.: Scheduling aircraft landings—the static case. Transp. Sci. 34(2), 180–197 (2000)
Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., Alizadeh, Y.: Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Comput. Methods Appl. Mech. Eng. 197(33), 3080–3091 (2008)
Gao, K.Z., Suganthan, P.N., Pan, Q.K., Chua, T.J., Cai, T.X., Chong, C.S.: Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives. J. Intell. Manuf. 27(2), 363–374 (2016)
Geem, Z.W.: State-of-the-art in the structure of harmony search algorithm. In: Geem, Z.W. (ed.) Recent Advances in Harmony Search Algorithm. SCI, vol. 270, pp. 1–10. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-04317-8_1
Jaddi, N.S., Abdullah, S.: A cooperative-competitive master-slave global-best harmony search for ANN optimization and water-quality prediction. Appl. Soft Comput. 51, 209–224 (2017)
Alia, O.M., Al-Betar, M.A., Mandava, R., Khader, A.T.: Data clustering using harmony search algorithm. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds.) SEMCCO 2011. LNCS, vol. 7077, pp. 79–88. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-27242-4_10
Pinol, H., Beasley, J.E.: Scatter search and bionomic algorithms for the aircraft landing problem. Eur. J. Oper. Res. 171(2), 439–462 (2006)
Sabar, N.R., Kendall, G.: An iterated local search with multiple perturbation operators and time varying perturbation strength for the aircraft landing problem. Omega 56, 88–98 (2015)
Salehipour, A., Modarres, M., Naeni, L.M.: An efficient hybrid meta-heuristic for aircraft landing problem. Comput. Oper. Res. 40(1), 207–213 (2013)
Sun, W., Chang, X.: An improved harmony search algorithm for power distribution network planning. J. Electr. Comput. Eng. 2015, 5 (2015)
Turky, A.M., Abdullah, S.: A multi-population harmony search algorithm with external archive for dynamic optimization problems. Inf. Sci. 272, 84–95 (2014)
Wang, G.G., Gandomi, A.H., Zhao, X., Chu, H.C.E.: Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft. Comput. 20(1), 273–285 (2016)
Yuan, Y., Xu, H., Yang, J.: A hybrid harmony search algorithm for the flexible job shop scheduling problem. Appl. Soft Comput. 13(7), 3259–3272 (2013)
Zeng, B., Dong, Y.: An improved harmony search based energy-efficient routing algorithm for wireless sensor networks. Appl. Soft Comput. 41, 135–147 (2016)
Zheng, Y.J., Zhang, M.X., Zhang, B.: Biogeographic harmony search for emergency air transportation. Soft. Comput. 20(3), 967–977 (2016)
Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)
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Jassam, A., Abdullah, O.S., Abdullah, S., Bassel, A. (2020). Single Runway Aircraft Landing Scheduling Using Simulated Annealing and Exact Timing Method. In: Khalaf, M., Al-Jumeily, D., Lisitsa, A. (eds) Applied Computing to Support Industry: Innovation and Technology. ACRIT 2019. Communications in Computer and Information Science, vol 1174. Springer, Cham. https://doi.org/10.1007/978-3-030-38752-5_24
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DOI: https://doi.org/10.1007/978-3-030-38752-5_24
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