T. Aytekin, E.E. Korkmaz, and H.A. Guvenir. An application of genetic programming to the 4-op problem using map trees. pages 28--40, Armidale, Australia, November 1994. Workshop on Evolutionary Computation in Association with 7 t h Australian Joint Conference on Artificial Intelligence. Home/Search Document Details and Download
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An Indexed Bibliography of Genetic Programming - Alander (1994) (Correct)
....175, 23, 26, 27, 348, 28, 29, 30, 31, 32, 33, 449, 34, 36] Andrews, Martin, 82] Angeline, Peter J. 142, 161, 174, 176, 264, 382, 458, 475, 522, 523] Araki, Miyuhiko, 76] Arus, C. 287] Ashlock, Dan, 383, 459] Atkin, Marc C. 83, 476, 477] Atlan, Laurent, 478, 479, 508] Aytekin, T. [177] Backer, Gerriet, 265] Bal ate, Mojm ir, 384] Ballard, Dana H. 123, 155, 167, 178] Balogh, S. 350] Bancroft, C. 338] Banzhaf, Wolfgang, 143, 215, 240, 255, 253, 257, 259, 260, 266, 283, 309, 320, 323, 363, 372, 376, 385, 432, 480, 481] Barclay, Peter J. 293] Barklund, Jonas, 306] ....
....Gofman, Yossi, 314] Goldfish, Andrew, 286] Goodman, Erik D. 326] Gordon, Benjamin M. 84] Gray, G. J. 353] Gray, H. F. 287, 409] Greeff, D. J. 407] Grimes, C. A. 195] Gritz, Larry, 196, 408] Gruau, Fr ed eric C. 98, 149, 288, 493, 494, 495, 496, 497, 498] G uvennir, H. A. [177] Hahn, James K. 196, 408] Hallam, J. 467] Hampo, Richard J. 99, 500] Handley, Simon G. 100, 151, 163, 501, 502, 503, 504, 505] Handley, Simon, 171, 197, 249, 290, 355] Harala, Sauli, 77] Harries, Kim, 411] Harris, Christopher, 291, 356] Hart, John, 198] Hasegawa, Yoshishige, 76] ....
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T. Aytekin, E. E. Korkmaz, and H. A. GĻuvennir. An application of genetic programming to the 4-OP problem using map-trees. In Yao [554], pages 28--40. y(Yao /conf. prog.) ga95aAytekin.
Decision Tree Induction Using Genetic - Programming Gokhan Tur Self-citation (Guvenir) (Correct)
....solutions to this problem may be provided. In fact, this is the same behaviour that Turney handles delayed tests in a decision tree [6] This apporach is not specific to decision tree induction, there can be many areas that are suitable for genetic programming. A recent example is 4 Operations [1]. One interesting point is that, in the very first generations, algorithm finds out the best result, and then only very small improvements are possible. This is contradictory to the typical genetic algorithm behavior. Genetic Programming is known to have some restrictions in some applications. ....
T. Aytekin, E.E. Korkmaz, and H.A. Guvenir. An application of genetic programming to the 4-op problem using map trees. pages 28--40, Armidale, Australia, November 1994. Workshop on Evolutionary Computation in Association with 7 t h Australian Joint Conference on Artificial Intelligence.
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