C. H. M. van Kemenade, C. F. W. Hendriks, and Joost N. Kok. Evolutionary computation in air traffic control planning. In Smith [295], page ? y(prog) ga95aKemenade. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
An Indexed Bibliography of Genetic Algorithms in Manufacturing - Alander (1995) (Correct)
....Ananda V. 288] Gupta, Ajay, 118] Gupta, Mahesh C. 219, 225] Gupta, Yash P. 219, 225] Hasegawa, Yoshishige, 258] Hashimoto, Y. 80] Haupt, M. 101, 83] Hawaleshka, O. 77] Hegde, Shailesh U. 33, 34] Hegde, U. 40] Heinzmann, F. 99] Held, M. 203] Hendriks, C. F. W. [157] He, Axel, 41] Hilliard, M. R. 221, 222, 223, 224] Hirata, H. 42, 43, 44] Hobbs, Matthew F. 285] Hofler, A. 45, 46] Holsapple, Clyde W. 206] Hon, K. K. B. 72, 47] Hong, R. 207] Hong, Young Sik, 265, 266] Hou, Edwin S. H. 120, 207, 208] Hu, Yu Hen, 66] Hunold, D. ....
....[156] Juliff, Kate, 17, 18] Kadaba, Nagesh, 213] Kado, Kazuhiro, 32] Kamhawi, Hilmi N. 97] Kanet, John J. 214, 215] Karatza, Helen, 274] Karr, Charles L. 93] Karr, Charles R. 94] Ka Wai, Lee, 142] Kawai, S. 139] Kawamura, Kazuhiko, 172, 173] Kemenade, C. H. M. van, [157] Khamisani, W. 27] Kidwell, Michelle D. 126, 216, 217] Kim, Gyoung H. 116] Kim, H. 119] Kim, Myunghwan, 67] Kim, Yei Chang, 265, 266] Kim, Youngtak, 67] Kimura, Atsushi, 76] King, R. M. 49, 50] Kirokawa, Noriyasu, 37] Koakutsu, S. 42, 43, 44] Kobayashi, Shigenobu, ....
[Article contains additional citation context not shown here]
C. H. M. van Kemenade, C. F. W. Hendriks, and Joost N. Kok. Evolutionary computation in air traffic control planning. In Smith [295], page ? y(prog) ga95aKemenade.
An Indexed Bibliography of Genetic Algorithms - Papers Available.. - Alander (1998) (1 citation) (Correct)
....[183] Haring, S. 72] Harju, Maarit, 289] Hartley, Stephen J. 341] Harvey, Inman, 119, 73, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331] Hashiyama, Tomonori, 33] Haupt, Randy L. 97] Haupt, Sue Ellen, 97] Heitkotter, Jorg, 19] Hekanaho, Jukka, 208] Hendriks, C. F. W. [34] Herajarvi, Juha, 283] Herrera, Francisco, 118, 135, 142, 152, 157, 181, 185, 192, 199, 200, 201, 202, 203, 204, 205, 206, 212, 213, 235, 236, 243, 245, 246, 248, 250, 252, 332, 333, 334] Herrera Viedma, E. 118] Herrera Viedmai, E. 199, 245] Higgins, Desmond G. 54] Hill, A. 35] ....
....Kimura, M. 57] Kinnear, Jr. Kenneth E. 339, 340] Kivijarvi, Juha, 262] Kobayashi, Naoki, 20, 41] Kochergov, Evgeny, 269] Koehn, Philipp, 122] Kohlmorgen, Udo, 187] Kohlmorgen, Uwe, 160] Koivisto, Hannu, 227] Koivisto, Pertti, 158] Koivo, Heikki N. 217, 264] Kok, Joost N. [116, 131, 34, 172, 196, 72] Konstam, Aaron H. 341] Koskimaki, Esa, 222] Kov acs, Attila, 60] Krejsa, Jir i, 276] Kreutz, Martin, 38] Krishnamoorthy, M. 298] Kuhn, Leslie A. 55, 84] Kuntz, I. D. 36] Kuosmanen, Pauli, 158] Kuscu, Ibrahim, 123] Kuvayev, L. 270] Kyngas, Jari, 223] Kyuma, Kazuo, ....
[Article contains additional citation context not shown here]
Cees H. M. van Kemenade, C. F. W. Hendriks, and Joost N. Kok. Evolutionary computation in air traffic control planning. In Eshelman [420], page ? ( URL: //www.cwi.nl/~kemenade/Articles) y(prog) Key: ga95aKemenade.
Application of Genetic Algorithms in the Aerospace Domain - Hesselink, Kuiper, van den .. (1996) (1 citation) Self-citation (Hesselink) (Correct)
....and efficient handling of aircraft. Currently, ATM planning is mainly a human activity. Due to the increasing volume of air traffic, new automated tools to assist the air traffic controller in making planning decisions become necessary. EXPERIENCE IN CONFLICT FREE PLANNING In the study (see Ref. [1]) planning without route structures has been investigated. Aircraft trajectories have been determined without constraining them to fly over specific way points. Aircraft trajectories interact by means of separation standards, where the separation standards define the minimum distance that has to ....
....As genetic operators, were chosen: proportional random selection for selection, and random intermediate recombination for operator. The latter operator is based on the principle of linear combinations: xxxxyyyy i a i a i b i a i a i a i b i a : ll Where l is random and in [0,1], and a and b are the parents for the operation. This operator was chosen because it was thought that randomly exchanging co ordinates in the chromosomes would too often lead to an invalid solution. For the mutation operator, it was opted to mutate a design variable x i with a certain probability ....
C.H.M. van Kemenade, C.F.W. Hendriks, H.H. Hesselink and J.N. Kok, "Evolutionary computation in Air Traffic Control planning", in: Proceedings of the sixth international conference on Genetic Algorithms, L.J. Eshelman (ed.), pp. 611-616, Morgan Kaufmann Publishers, 1995 (also published as NLR TP 94565)
Evolutionary 3D-air traffic flow management - van den Akker, van Kemenade, Kok (1999) Self-citation (Kok) (Correct)
No context found.
van Kemenade C H M, Hendriks C F W, Hesselink H H, and Kok J N 1995 Evolutionary computation in air traffic control planning proceedings of the Sixth International Conference on Genetic Algorithms ed. Forrest S (Morgan Kaufmann) pp 611--616
Evolutionary Air Traffic Flow Management for Large.. - van Kemenade, van den.. (1996) (2 citations) Self-citation (Van kemenade Kok) (Correct)
....algorithms, constrained) optimization Note: This paper was presented at the Parallel Problem Solving from Nature conference PPSN IV, Berlin, Germany, 1996 1. Introduction Previous work on application of Evolutionary Algorithms (EA s) to the Air Traffic Flow Management (ATFM) problem [1, 3, 7] handles only small problems involving few aircraft within a two dimensional air space. We develop an evolutionary tool that can handle three dimensional ATFM planning problems involving a few hundred of aircraft. For smaller 2D problem instances we obtained good results with a mutation based EA ....
....7] handles only small problems involving few aircraft within a two dimensional air space. We develop an evolutionary tool that can handle three dimensional ATFM planning problems involving a few hundred of aircraft. For smaller 2D problem instances we obtained good results with a mutation based EA [7]. This system solves problems involving up to 20 aircraft within a square 2D sector of size 200 Theta 200 km. Using these problem instances it appeared to be impossible to define a good recombination operator. All aircraft are relatively close to one another, and as a result of the small size of ....
C.H.M. van Kemenade, C.F.W. Hendriks, H.H. Hesselink, and J.N. Kok. Evolutionary computation in air traffic control planning. In S. Forrest, editor, Sixth International Conference on Genetic Algorithms, pages 611--616. Morgan Kaufmann, 1995.
An Evolutionary Approach to Time Constrained Routing Problems - van Kemenade, Kok (2 citations) Self-citation (Van kemenade Kok) (Correct)
....population remains quite long. Such a scheme comes closer to the scheme used in Evolution Strategies, which have been shown to be outperform Genetic Algorithms on function optimization tasks [Bac94] During previous work on application of an evolutionary computation method to air traffic control [vKHHK95], and work on function optimization, this scheme resulted in a better performance of the evolutionary algorithm. Using fitness proportionate selection does not make much sense, as it is not known beforehand whether fitness is a linear measure in this case. Therefore we use a rank based approach, ....
C.H.M. van Kemenade, C.F.W. Hendriks, H.H. Hesselink, and J.N. Kok. Evolutionary computation in air traffic control planning. In Sixth International Conference on Genetic Algorithms, 1995. References 12
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC