| John R. Koza. A genetic approach to econometric modeling. In Paul Bourgine and Bernard Walliser, editors, Economics and Cognitive Science, pages 57-75. Pergamon Press, Oxford, 1991. ga:Koza91aa. |
....[223, 35, 50] Kiernan, Vincent, 22] Kim, C. E. 156] Kimbrough, Steven O. 23] King, G. A. 130, 143] King, P. R. 120] Kingham, M. 94] Kita, H. 180] Kitson, A. J. G. 221] Kleeck, Lawrence von, 198] Klimasauskas, Casimir C. 199, 261, 200] Koivum aki, T. 175] Koza, John R. [201, 202, 203] Kreidler, M. 86] Kumar, A. 119] Kumar, Anup, 33] Kuo, Sheng Feng, 54] Kwa snicka, Halina, 140] Kwa snicki, Witold, 140] Lai, Loi Lei, 91, 129] Laitinen, Teija, 80, 114] LeBaron, B. 29] Lee, Hwa Seok, 90] Lee, M. A. 75] Lee, Woh Chiang, 150, 164] LeF evre, Jacques, 242] ....
.... economic dispatch, 98, 169] in nuclear fuel management, 230] neural networks, 163] pairwise comparison, 227] simulated annealing, 54, 87] crossover uniform, 227] database queries, 250] databases marketing, 249, 248, 251] deception, 136] decision trees ID3, 209] econometric modeling, [201, 202, 203] economic dispatch, 12, 16, 18, 31, 49, 58, 59, 61, 63, 64, 73, 84, 87, 90, 91, 92, 93, 100, 110, 113, 121, 129, 159, 161, 165, 174, 176, 178, 180, 182] economic dispatch environmentally constrained, 108] economic dispatch problem, 20, 98] economic modeling, 99] economic simulations, 37] ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Paul Bourgine and Bernard Walliser, editors, Economics and Cognitive Science, pages 57-75. Pergamon Press, Oxford, 1991. ga:Koza91aa.
....[223, 35, 50] Kiernan, Vincent, 22] Kim, C. E. 156] Kimbrough, Steven O. 23] King, G. A. 130, 143] King, P. R. 120] Kingham, M. 94] Kita, H. 180] Kitson, A. J. G. 221] Kleeck, Lawrence von, 198] Klimasauskas, Casimir C. 199, 261, 200] Koivum aki, T. 175] Koza, John R. [201, 202, 203] Kreidler, M. 86] Kumar, A. 119] Kumar, Anup, 33] Kuo, Sheng Feng, 54] Kwa snicka, Halina, 140] Kwa snicki, Witold, 140] Lai, Loi Lei, 91, 129] Laitinen, Teija, 80, 114] LeBaron, B. 29] Lee, Hwa Seok, 90] Lee, M. A. 75] Lee, Woh Chiang, 150, 164] LeF evre, Jacques, 242] ....
.... economic dispatch, 98, 169] in nuclear fuel management, 230] neural networks, 163] pairwise comparison, 227] simulated annealing, 54, 87] crossover uniform, 227] database queries, 250] databases marketing, 249, 248, 251] deception, 136] decision trees ID3, 209] econometric modeling, [201, 202, 203] economic dispatch, 12, 16, 18, 31, 49, 58, 59, 61, 63, 64, 73, 84, 87, 90, 91, 92, 93, 100, 110, 113, 121, 129, 159, 161, 165, 174, 176, 178, 180, 182] economic dispatch environmentally constrained, 108] economic dispatch problem, 20, 98] economic modeling, 99] economic simulations, 37] ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the 2nd International Conference on Economics and Articial Intelligence, page ?, ?, ? 1991. ? y ga:Koza91a.
....[223, 35, 50] Kiernan, Vincent, 22] Kim, C. E. 156] Kimbrough, Steven O. 23] King, G. A. 130, 143] King, P. R. 120] Kingham, M. 94] Kita, H. 180] Kitson, A. J. G. 221] Kleeck, Lawrence von, 198] Klimasauskas, Casimir C. 199, 261, 200] Koivum aki, T. 175] Koza, John R. [201, 202, 203] Kreidler, M. 86] Kumar, A. 119] Kumar, Anup, 33] Kuo, Sheng Feng, 54] Kwa snicka, Halina, 140] Kwa snicki, Witold, 140] Lai, Loi Lei, 91, 129] Laitinen, Teija, 80, 114] LeBaron, B. 29] Lee, Hwa Seok, 90] Lee, M. A. 75] Lee, Woh Chiang, 150, 164] LeF evre, Jacques, 242] ....
.... economic dispatch, 98, 169] in nuclear fuel management, 230] neural networks, 163] pairwise comparison, 227] simulated annealing, 54, 87] crossover uniform, 227] database queries, 250] databases marketing, 249, 248, 251] deception, 136] decision trees ID3, 209] econometric modeling, [201, 202, 203] economic dispatch, 12, 16, 18, 31, 49, 58, 59, 61, 63, 64, 73, 84, 87, 90, 91, 92, 93, 100, 110, 113, 121, 129, 159, 161, 165, 174, 176, 178, 180, 182] economic dispatch environmentally constrained, 108] economic dispatch problem, 20, 98] economic modeling, 99] economic simulations, 37] ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the Sixth World Congress of the Econometric Society, page ?, Barcelona (Spain), 27. August 1990. ? y[272] ga:Koza90h.
....Andrzej, 1072] Komeiji, Y. 1073] Konaka, Kenji, 433] Kondo, Toshiyuki, 350] Kopfer, Herbert, 85] Koppen, Mario, 655] Koppen, M. 442] Korn, Ulrich, 87] Kosaki, T. 409] Koskimaki, Esa, 443] Kosugi, Y. 509] Koumousis, Vlasis, 248] Kov acs, Attila, 915] Koza, John R. [36, 38, 444, 942, 1074, 1180, 1216, 1266, 1267, 1409, 1410, 1411, 1412, 1413, 1414] Kragelund, Lars V. 744] Krahenbuhl, L. 809] Krajcar, Slavko, 728, 737, 973, 1143] Kratochvil, Z. 1176] Krawczyk, Jacek R. 1426] Kreidler, M. 224] Kreinovich, V. 555] Krejsa, Jir i, 649, 729, 1140] Krejsa, J. 368] Kreutz, Martin, 709] Kriese, T. 705] Krishnakumar, K. ....
.... net reconfiguration, 237] distribution networks, 128, 527, 728, 740] distribution systems, 1113, 1218] diversity, 193, 309, 1107] multiploidy, 141] DNA, 1419] sequence comparison, 353] drug design, 669] dynamical systems, 985] econimics models, 300] econometric modeling, [1413] economic dispatch, 206, 365, 431, 807, 876, 1268] economics, 668] bankruptry prediction, 55, 835] efficient market hypothesis, 666] finance, 972, 1240] financial modelling, 435] modelling, 1123] risk management, 654] ROI, 996] stock investment, 115] stock markets, 1183] ....
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John R. Koza. A genetic approach to econometric modeling. In Proceedings of the Sixth World Congress of the Econometric Society, page ?, Barcelona (Spain), 27. August 1990. ? y[?] ga:Koza90h.
....Martin A. 178, 186] Keeler, J. D. 232] Keesing, R. 279] Kerzic, Travis, 126] Khuri, Sami, 171, 172] King, R. M. 173] Kitano, Hiroaki, 174, 175, 176] Knudsen, Carsten, 246] Koakutsu, S. 151] Kohler, H. M. 177] Korb, Bradley, 117, 127] Korf, Richard, 164] Koza, John R. [178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188] Krawczyk, Jacek R. 213] Krishnakumar, K. 128] Krishnamoorthy, C. S. 245] Kroger, Berthold, 189] Kuester, Rebecca L. 44] Kursawe, Frank, 190, 267] Laarhoven, P. J. M. van, 229] Laszewski, Gregor von, 193, 220] Latham, William, 194, 256] Lauterbach, M. 202] Lee, C. D. ....
.... [99, 300] controllers, 45, 94, 293] convergence, 145] crossover, 44, 171] culture, 33] data analysis, 32] index selection, 114] query optimization, 163] ranges, 217] security, 215] DENISE, 201] design VLSI, 272] distributed GA, 297] DNA, 201] econometric modeling, [184] economics, 22, 262] editorial artificial life, 159] electronics CAD, 148] emergence, 162, 246] emergent behaviour, 109] encoding, 35] EnGENous, 236] engineering, 89, 158, 205, 237, 241, 260] aerospace, 169, 170, 236] construction, 85] electrical, 302] electronics, 51] ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the Sixth World Congress of the Econometric Society, page ?, Barcelona (Spain), 27. August 1990. ? y([?]) ga:Koza90h.
....Kimbrough, Steven O. 279] Kimura, Masayuki, 301] Kinnear, Jr. Kenneth E. 104, 152, 166, 513, 514] Kirkwood, I. M. A. 443] Kiryati, Nahum, 314] Klebus, G. P. 423] Knight, Leslie, 292] Ko, Eun Joung, 190] Koivo, Heikki N. 298] Koppen, M. 310] Korkmaz, E. E. 177] Koza, John R. [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75] Kozasa, Junji, 76] Kraft, Donald H. 105] Kuhn, Leslie A. 326] Kuscu, Ibrahim, 311] Kvasnicka, Vladim ir, 424, 436] Laane, Lisa A. 206] Laing, James D. 279] Lakner, R. 350] Lamas, Ricardo, 219] Lang, K. J. 307] Langdon, W. B. 312] Langdon, William Benjamin, 361] Langdon, ....
.... optimization, 340] data mining, 405] proteins, 326] data representation, 448] data structures, 361] genetic programming, 312] databases data mining, 228] queries, 105, 341] decision trees induction, 40] diagnostics, 99] DNA, 197] exons, 249] introns, 249] econometric modeling, [45, 50, 51] economics, 332, 333, 396] efficient market hypothesis, 331] finance, 374, 433] investment behaviour, 427] macro , 430] marketing, 466, 470] pricing, 515] stock prices, 137] time series, 442] trade strategies, 107] trading, 82, 403, 465] editorial, 152, 176] electronics analog, ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Paul Bourgine and Bernard Walliser, editors, Economics and Cognitive Science, pages 57--75. Pergamon Press, Oxford, 1991. ga:Koza91aa.
....Kimbrough, Steven O. 279] Kimura, Masayuki, 301] Kinnear, Jr. Kenneth E. 104, 152, 166, 513, 514] Kirkwood, I. M. A. 443] Kiryati, Nahum, 314] Klebus, G. P. 423] Knight, Leslie, 292] Ko, Eun Joung, 190] Koivo, Heikki N. 298] Koppen, M. 310] Korkmaz, E. E. 177] Koza, John R. [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75] Kozasa, Junji, 76] Kraft, Donald H. 105] Kuhn, Leslie A. 326] Kuscu, Ibrahim, 311] Kvasnicka, Vladim ir, 424, 436] Laane, Lisa A. 206] Laing, James D. 279] Lakner, R. 350] Lamas, Ricardo, 219] Lang, K. J. 307] Langdon, W. B. 312] Langdon, William Benjamin, 361] Langdon, ....
.... optimization, 340] data mining, 405] proteins, 326] data representation, 448] data structures, 361] genetic programming, 312] databases data mining, 228] queries, 105, 341] decision trees induction, 40] diagnostics, 99] DNA, 197] exons, 249] introns, 249] econometric modeling, [45, 50, 51] economics, 332, 333, 396] efficient market hypothesis, 331] finance, 374, 433] investment behaviour, 427] macro , 430] marketing, 466, 470] pricing, 515] stock prices, 137] time series, 442] trade strategies, 107] trading, 82, 403, 465] editorial, 152, 176] electronics analog, ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the 2nd International Conference on Economics and Artificial Intelligence, page ?, ?, ? 1991. ? y ga:Koza91a.
....Kimbrough, Steven O. 279] Kimura, Masayuki, 301] Kinnear, Jr. Kenneth E. 104, 152, 166, 513, 514] Kirkwood, I. M. A. 443] Kiryati, Nahum, 314] Klebus, G. P. 423] Knight, Leslie, 292] Ko, Eun Joung, 190] Koivo, Heikki N. 298] Koppen, M. 310] Korkmaz, E. E. 177] Koza, John R. [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75] Kozasa, Junji, 76] Kraft, Donald H. 105] Kuhn, Leslie A. 326] Kuscu, Ibrahim, 311] Kvasnicka, Vladim ir, 424, 436] Laane, Lisa A. 206] Laing, James D. 279] Lakner, R. 350] Lamas, Ricardo, 219] Lang, K. J. 307] Langdon, W. B. 312] Langdon, William Benjamin, 361] Langdon, ....
.... optimization, 340] data mining, 405] proteins, 326] data representation, 448] data structures, 361] genetic programming, 312] databases data mining, 228] queries, 105, 341] decision trees induction, 40] diagnostics, 99] DNA, 197] exons, 249] introns, 249] econometric modeling, [45, 50, 51] economics, 332, 333, 396] efficient market hypothesis, 331] finance, 374, 433] investment behaviour, 427] macro , 430] marketing, 466, 470] pricing, 515] stock prices, 137] time series, 442] trade strategies, 107] trading, 82, 403, 465] editorial, 152, 176] electronics analog, ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the Sixth World Congress of the Econometric Society, page ?, Barcelona (Spain), 27. August 1990. ? y([61]) ga:Koza90h.
....shown above. The two offspring resulting from crossover are shown below. OR AND NOT NOT D0 D1 AND D0 D1 NOT OR NOT D0 D1 D1 OR Note that the first offspring above is a perfect solution for the exclusive or function, namely (OR (AND (NOT D0) NOT D1) AND D0 D1) Details can be found in Koza (1990a, 1992a, 1992b) We have shown that entire computer programs can be genetically bred to solve problems in a variety of different areas of artificial intelligence, machine learning, and symbolic processing (1989, 1990a, 1992a, 1992b) In particular, this new paradigm has been successfully applied ....
.... identities) empirical discovery (e.g. rediscovering Kepler s Third Law, rediscovering the wellknown econometric exchange equation MV = PQ from actual noisy time series data for the money supply, the velocity of money, the price level, and the gross national product of an economy) (Koza 1990b) planning (e.g. navigating an artificial ant along an irregular trail, developing a robotic action sequence that can stack an arbitrary initial configuration of blocks into a specified order) machine learning of functions (e.g. learning the Boolean 11 multiplexer function) sequence ....
Koza, John R. "A Genetic Approach to Econometric Modeling." Sixth World Congress of the Econometric Society. Barcelona, Spain. August 27, 1990. 1990b.
.... Applications of classifier systems are discussed in Wilson (1987a, 1987b, 1988) In addition, we have recently shown that entire computer programs can be genetically bred to solve problems in a variety of different areas of artificial intelligence, machine learning, and symbolic processing (Koza 1989, 1990a) In this recently developed genetic programming paradigm, the individuals in the population are compositions of functions and terminals appropriate to the particular problem domain. The set of functions used typically includes arithmetic operations, mathematical functions, conditional logical ....
....The two offspring resulting from crossover are shown below. OR AND NOT NOT D0 D1 AND D0 D1 NOT OR NOT D0 D1 D1 OR Note that the first offspring above is a perfect solution for the exclusive or function, namely (OR (AND (NOT D0) NOT D1) AND D0 D1) Details on this algorithm can be found in Koza (1990a) This new genetic algorithm paradigm has been successfully applied (Koza 1989, 1990a) to example problems in several different areas, including (1) machine learning of functions (e.g. learning the Boolean 11 multiplexer function, 2) planning (e.g. developing a robotic action sequence that can ....
[Article contains additional citation context not shown here]
Koza, John R. "A Genetic Approach to Econometric Modeling." Sixth World Congress of the Econometric Society. Barcelona, Spain. August 27, 1990. 1990b.
.... robotic action sequence that can stack blocks) Koza 1990b] emergent behavior (e.g. discovering a computer program for locating food, carrying food to the nest, and dropping pheromones, which, when executed by all the ants in an ant colony, produces interesting higher level emergent behavior) [Koza 1991a] finding minimax strategies for games (e.g. differential pursuer evader games; discrete games in extensive form) by both evolution and co evolution [1991b] optimal control (e.g. centering a cart and balancing a broom in minimal time by applying a bang bang force to the cart) Koza and ....
.... by both evolution and co evolution [1991b] optimal control (e.g. centering a cart and balancing a broom in minimal time by applying a bang bang force to the cart) Koza and Keane 1990a, 1990b] discovering inverse kinematic equations (e.g. to move a robot arm to designated target points) [Koza 1991f] sequence induction (e.g. inducing a recursive procedure for generating sequences such as the Fibonacci and the Hofstadter sequences) Koza 1989] symbolic data to function regression, integration, differentiation, and symbolic solution to general functional equations (including ....
[Article contains additional citation context not shown here]
Koza, John R. A genetic approach to econometric modeling. In Bourgine, Paul and Walliser, Bernard. Proceedings of the 2nd International Conference on Economics and Artificial Intelligence. Pergamon Press 1991. 1991d.
....112, 164, 169, 34, 203] Jacob, C. 86] Jannink, Jan, 204] Jiang, Minga, 205, 22] Johnson, Michael Patrick, 185] Jones, A. 26] Jong, Kenneth A. De, 143] Keane, Martin A. 206, 207, 158, 208] Keith, Mike J. 209] Kinnear, Jr. Kenneth E. 69, 210, 211, 157, 151] Koza, John R. [70, 19, 212, 60, 9, 213, 214, 215, 41, 216, 120, 104, 117, 217, 206, 42, 161, 166, 50, 218, 219, 220, 51, 207, 54, 55, 221, 222, 146, 127, 123, 134, 223, 224, 46, 225, 226, 10, 227, 228, 136, 48, 49, 11, 39, 47, 53, 52, 158, 159, 152, 208, 229] Kozasa, Junji, 176] Kraft, Donald H. 71] Langdon, William B. 113] Lay, Ming Yi, 72] Lent, Brian, 94] Leung, K. S. 106] Liang, Minga, 230] Lott, Christopher G. 95] Maes, Pattie, 185] Marengo, Luigi, 43] Marko, Kenneth A. 182] Martin, Martin C. 209] Masand, Brij, ....
.... [168] architecture, 189] broom balancing, 206, 219, 207] genetic programming, 82] robots, 99] vehicle, 82] walking, 240] control systems, 208] crossover context preserving, 66] databases queries, 71] decision trees induction, 161] diagnostics, 182] econometric modeling, [220, 221, 222] economics pricing, 43] stock prices, 101] trade strategies, 94] trading, 173] editorial, 210] engineering automobile, 182] ethology territory defining behavior in birds, 97] evolution, 123, 11, 39] filters stack, 233] fitness landscapes genetic programming, 69] fitting ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Paul Bourgine and Bernard Walliser, editors, Economics and Cognitive Science, pages 57--75. Pergamon Press, Oxford, 1991. ga:Koza91aa.
....112, 164, 169, 34, 203] Jacob, C. 86] Jannink, Jan, 204] Jiang, Minga, 205, 22] Johnson, Michael Patrick, 185] Jones, A. 26] Jong, Kenneth A. De, 143] Keane, Martin A. 206, 207, 158, 208] Keith, Mike J. 209] Kinnear, Jr. Kenneth E. 69, 210, 211, 157, 151] Koza, John R. [70, 19, 212, 60, 9, 213, 214, 215, 41, 216, 120, 104, 117, 217, 206, 42, 161, 166, 50, 218, 219, 220, 51, 207, 54, 55, 221, 222, 146, 127, 123, 134, 223, 224, 46, 225, 226, 10, 227, 228, 136, 48, 49, 11, 39, 47, 53, 52, 158, 159, 152, 208, 229] Kozasa, Junji, 176] Kraft, Donald H. 71] Langdon, William B. 113] Lay, Ming Yi, 72] Lent, Brian, 94] Leung, K. S. 106] Liang, Minga, 230] Lott, Christopher G. 95] Maes, Pattie, 185] Marengo, Luigi, 43] Marko, Kenneth A. 182] Martin, Martin C. 209] Masand, Brij, ....
.... [168] architecture, 189] broom balancing, 206, 219, 207] genetic programming, 82] robots, 99] vehicle, 82] walking, 240] control systems, 208] crossover context preserving, 66] databases queries, 71] decision trees induction, 161] diagnostics, 182] econometric modeling, [220, 221, 222] economics pricing, 43] stock prices, 101] trade strategies, 94] trading, 173] editorial, 210] engineering automobile, 182] ethology territory defining behavior in birds, 97] evolution, 123, 11, 39] filters stack, 233] fitness landscapes genetic programming, 69] fitting ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the 2nd International Conference on Economics and Artificial Intelligence, page ?, ?, ? 1991. ? y ga:Koza91a.
....112, 164, 169, 34, 203] Jacob, C. 86] Jannink, Jan, 204] Jiang, Minga, 205, 22] Johnson, Michael Patrick, 185] Jones, A. 26] Jong, Kenneth A. De, 143] Keane, Martin A. 206, 207, 158, 208] Keith, Mike J. 209] Kinnear, Jr. Kenneth E. 69, 210, 211, 157, 151] Koza, John R. [70, 19, 212, 60, 9, 213, 214, 215, 41, 216, 120, 104, 117, 217, 206, 42, 161, 166, 50, 218, 219, 220, 51, 207, 54, 55, 221, 222, 146, 127, 123, 134, 223, 224, 46, 225, 226, 10, 227, 228, 136, 48, 49, 11, 39, 47, 53, 52, 158, 159, 152, 208, 229] Kozasa, Junji, 176] Kraft, Donald H. 71] Langdon, William B. 113] Lay, Ming Yi, 72] Lent, Brian, 94] Leung, K. S. 106] Liang, Minga, 230] Lott, Christopher G. 95] Maes, Pattie, 185] Marengo, Luigi, 43] Marko, Kenneth A. 182] Martin, Martin C. 209] Masand, Brij, ....
.... [168] architecture, 189] broom balancing, 206, 219, 207] genetic programming, 82] robots, 99] vehicle, 82] walking, 240] control systems, 208] crossover context preserving, 66] databases queries, 71] decision trees induction, 161] diagnostics, 182] econometric modeling, [220, 221, 222] economics pricing, 43] stock prices, 101] trade strategies, 94] trading, 173] editorial, 210] engineering automobile, 182] ethology territory defining behavior in birds, 97] evolution, 123, 11, 39] filters stack, 233] fitness landscapes genetic programming, 69] fitting ....
[Article contains additional citation context not shown here]
John R. Koza. A genetic approach to econometric modeling. In Proceedings of the Sixth World Congress of the Econometric Society, page ?, Barcelona (Spain), 27. August 1990. ? y([10]) ga:Koza90h.
.... rules (whose condition and action parts are fixed length binary strings) In addition, we have recently shown that entire com of 9 puter programs can be genetically bred to solve problems in a variety of different areas of artificial intelligence, machine learning, and symbolic processing (Koza 1989, 1990a) In this recently developed genetic programming paradigm, the individuals in the population are compositions of functions and terminals appropriate to the particular problem domain. The set of functions used typically includes arithmetic operations, mathematical functions, conditional logical ....
....shown above. The two offspring resulting from crossover are shown below. OR AND NOT NOT D0 D1 AND D0 D1 NOT OR NOT D0 D1 D1 OR Note that the first offspring above is a perfect solution for the exclusive or function, namely (OR (AND (NOT D0) NOT D1) AND D0 D1) Details can be found in Koza (1990a) of 9 Start 62 89 38 31 11 24 3 This new genetic algorithm paradigm has been successfully applied (Koza 1989, 1990a) to example problems in several different areas, including (1) machine learning of functions (e.g. learning the Boolean 11 multiplexer function, 2) planning (e.g. developing a ....
[Article contains additional citation context not shown here]
Koza, John R. "A Genetic Approach to Econometric Modeling." Sixth World Congress of the Econometric Society. Barcelona, Spain. August 27, 1990. 1990b.
....programming paradigm, populations of entire computer programs are genetically bred to solve problems. We have recently shown that entire computer programs can be genetically bred to solve problems in a variety of different areas of artificial intelligence, machine learning, and symbolic processing (Koza 1989, 1990a, 1991d) In this recently developed genetic programming paradigm, the individuals in the population are compositions of functions and terminals appropriate to the particular problem domain. The set of functions used typically includes arithmetic operations, mathematical functions, conditional ....
....to example problems in several different areas, including . machine learning of functions (e.g. learning the Boolean 11 multiplexer function) planning (e.g. navigating an artificial ant along an irregular trail, developing a robotic action sequence that can stack blocks in a specified order) (Koza 1990c) automatic programming (e.g. solving pairs of linear equations, solving quadratic equations for complex roots, and discovering trigonometric identities) optimal control (e.g. centering a cart and balancing a broom on a moving cart in minimal time by applying a bang bang force to the ....
[Article contains additional citation context not shown here]
Koza, J. R. (1990b). A Genetic Approach to Econometric Modeling. Paper presented at Sixth World Congress of the Econometric Society, Barcelona, Spain.
.... [4] empirical discovery (e.g. rediscovering Kepler s Third Law, rediscovering the well known non linear econometric exchange equation MV = PQ from actual, noisy time series data for the money supply, the velocity of money, the price level, and the gross national product of an economy) [8], concept formation and decision tree induction [9] finding minimax strategies for games (e.g. differential pursuer evader games, discrete games in extensive form) by both evolution and co evolution [7] and . simultaneous architectural design and training of neural networks [15] A ....
J. R. Koza. A genetic approach to econometric modeling. In Bourgine, Paul and Walliser, Bernard. Proceedings of the 2nd International Conference on Economics and Artificial Intelligence. Pergamon Press 1991.
No context found.
Koza, J. R. 1990. A Genetic Approach to Econometric Modeling. Paper presented at Sixth World Congress of the Econometric Society, Barcelona, Spain.
No context found.
Koza, John R. A genetic approach to econometric modeling. In Bourgine, Paul and Walliser, Bernard. Economics and Cognitive Science. Oxford: Pergamon Press 1991. Pages 57-75. 1991d.
No context found.
Koza, John R. A genetic approach to econometric modeling. In Bourgine, Paul and Walliser, Bernard. Economics and Cognitive Science. Oxford: Pergamon Press 1991. Pages 57-75. 1991d.
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