{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T07:10:32Z","timestamp":1777360232969,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":32,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642291388","type":"print"},{"value":"9783642291395","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-29139-5_19","type":"book-chapter","created":{"date-parts":[[2012,3,23]],"date-time":"2012-03-23T17:24:46Z","timestamp":1332523486000},"page":"218-229","source":"Crossref","is-referenced-by-count":43,"title":["Random Sampling Technique for Overfitting Control in Genetic Programming"],"prefix":"10.1007","author":[{"given":"Ivo","family":"Gon\u00e7alves","sequence":"first","affiliation":[]},{"given":"Sara","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Joana B.","family":"Melo","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o M. B.","family":"Carreiras","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"19_CR1","unstructured":"Poli, R., Langdon, W.B., McPhee, N.F.: A field guide to genetic programming (With contributions by J.R. Koza) (2008), http:\/\/lulu.com , http:\/\/www.gp-field-guide.org.uk"},{"key":"19_CR2","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s10710-010-9113-2","volume":"11","author":"M. O\u2019Neill","year":"2010","unstructured":"O\u2019Neill, M., Vanneschi, L., Gustafson, S., Banzhaf, W.: Open Issues in Genetic Programming. Genetic Programming and Evolvable Machines\u00a011, 339\u2013363 (2010)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"19_CR3","unstructured":"Koza, J.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press (1992)"},{"key":"19_CR4","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1016379201230","volume":"18","author":"I. Kushchu","year":"2002","unstructured":"Kushchu, I.: An Evaluation of Evolutionary Generalisation in Genetic Programming. Artificial Intelligence Review\u00a018, 3\u201314 (2002)","journal-title":"Artificial Intelligence Review"},{"issue":"2","key":"19_CR5","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s10710-008-9075-9","volume":"10","author":"S. Silva","year":"2009","unstructured":"Silva, S., Costa, E.: Dynamic Limits for Bloat Control in Genetic Programming and a review of past and current bloat theories. Genetic Programming and Evolvable Machines\u00a010(2), 141\u2013179 (2009)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"19_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-642-04686-5_6","volume-title":"Progress in Artificial Intelligence","author":"L. Vanneschi","year":"2009","unstructured":"Vanneschi, L., Silva, S.: Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS, vol.\u00a05816, pp. 65\u201376. Springer, Heidelberg (2009)"},{"key":"19_CR7","unstructured":"Becker, L.A., Seshadri, M.: Comprehensibility and Overfitting Avoidance in Genetic Programming for Technical Trading Rules. Technical report, Worcester Polytechnic Institute (2003)"},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/978-3-540-31989-4_18","volume-title":"Genetic Programming","author":"S. Mahler","year":"2005","unstructured":"Mahler, S., Robilliard, D., Fonlupt, C.: Tarpeian Bloat Control and Generalization Accuracy. In: Keijzer, M., Tettamanzi, A.G.B., Collet, P., van Hemert, J., Tomassini, M. (eds.) EuroGP 2005. LNCS, vol.\u00a03447, pp. 203\u2013214. Springer, Heidelberg (2005)"},{"key":"19_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/11729976_10","volume-title":"Genetic Programming","author":"C. Gagn\u00e9","year":"2006","unstructured":"Gagn\u00e9, C., Schoenauer, M., Parizeau, M., Tomassini, M.: Genetic Programming, Validation Sets, and Parsimony Pressure. In: Collet, P., Tomassini, M., Ebner, M., Gustafson, S., Ek\u00e1rt, A. (eds.) EuroGP 2006. LNCS, vol.\u00a03905, pp. 109\u2013120. Springer, Heidelberg (2006)"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Cavaretta, M.J., Chellapilla, K.: Data Mining using Genetic Programming: The implications of parsimony on generalization error. In: Proceedings of the 1999 IEEE Congress on Evolutionary Computation, pp. 1330\u20131337. IEEE Press (1999)","DOI":"10.1109\/CEC.1999.782602"},{"issue":"1","key":"19_CR11","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1162\/evco.1995.3.1.17","volume":"3","author":"B.-T. Zhang","year":"1995","unstructured":"Zhang, B.-T., M\u00fchlenbein, H.: Balancing Accuracy and Parsimony in Genetic Programming. Evolutionary Computation\u00a03(1), 17\u201338 (1995)","journal-title":"Evolutionary Computation"},{"issue":"2","key":"19_CR12","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1109\/TEVC.2008.926486","volume":"13","author":"E.J. Vladislavleva","year":"2009","unstructured":"Vladislavleva, E.J., Smits, G.F., den Hertog, D.: Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming. IEEE Transactions on Evolutionary Computation\u00a013(2), 333\u2013349 (2009)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Vanneschi, L., Castelli, M., Silva, S.: Measuring Bloat, Overfitting and Functional Complexity in Genetic Programming. In: Proceedings of GECCO 2010, pp. 877\u2013884. ACM Press (2010)","DOI":"10.1145\/1830483.1830643"},{"key":"19_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1007\/978-3-642-20407-4_23","volume-title":"EuroGP 2011","author":"L. Trujillo","year":"2011","unstructured":"Trujillo, L., Silva, S., Legrand, P., Vanneschi, L.: An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. In: Silva, S., Foster, J.A., Nicolau, M., Machado, P., Giacobini, M. (eds.) EuroGP 2011. LNCS, vol.\u00a06621, pp. 262\u2013273. Springer, Heidelberg (2011)"},{"key":"19_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-12148-7_16","volume-title":"Genetic Programming","author":"Q.U. Nguyen","year":"2010","unstructured":"Nguyen, Q.U., Nguyen, T.H., Nguyen, X.H., O\u2019Neill, M.: Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover. In: Esparcia-Alc\u00e1zar, A.I., Ek\u00e1rt, A., Silva, S., Dignum, S., Uyar, A.\u015e. (eds.) EuroGP 2010. LNCS, vol.\u00a06021, pp. 184\u2013195. Springer, Heidelberg (2010)"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Vanneschi, L., Gustafson, S.: Using Crossover Based Similarity Measure to Improve Genetic Programming Generalization Ability. In: Proceedings of GECCO 2009, pp. 1139\u20131146. ACM Press (2009)","DOI":"10.1145\/1569901.1570054"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Da Costa, L.E., Landry, J.-A.: Relaxed Genetic Programming. In: Proceedings of GECCO 2006, pp. 937\u2013938. ACM Press (2006)","DOI":"10.1145\/1143997.1144158"},{"issue":"2","key":"19_CR18","doi-asserted-by":"publisher","first-page":"1648","DOI":"10.1016\/j.asoc.2010.04.022","volume":"11","author":"K.Y. Chan","year":"2011","unstructured":"Chan, K.Y., Kwong, C.K., Chang, E.: Reducing Overfitting in Manufacturing Process Modeling using a Backward Elimination Based Genetic Programming. Applied Soft Computing\u00a011(2), 1648\u20131656 (2011)","journal-title":"Applied Soft Computing"},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Nikolaev, N., de Menezes, L.M., Iba, H.: Overfitting Avoidance in Genetic Programming of Polynomials. In: Proceedings of the 2002 IEEE Congress on Evolutionary Computation, pp. 1209\u20131214. IEEE Press (2002)","DOI":"10.1109\/CEC.2002.1004415"},{"key":"19_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/3-540-36599-0_4","volume-title":"Genetic Programming","author":"S.-H. Chen","year":"2003","unstructured":"Chen, S.-H., Kuo, T.-W.: Overfitting or Poor Learning: A Critique of Current Financial Applications of GP. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E.P.K., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol.\u00a02610, pp. 34\u201346. Springer, Heidelberg (2003)"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Foreman, N., Evett, M.: Preventing overfitting in GP with canary functions. In: Proceedings of GECCO 2005, pp. 1779\u20131780. ACM Press (2005)","DOI":"10.1145\/1068009.1068307"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Vanneschi, L., Rochat, D., Tomassini, M.: Multi-optimization improves genetic programming generalization ability. In: Proceedings of GECCO 2007, p. 1759. ACM Press (2007)","DOI":"10.1145\/1276958.1277309"},{"key":"19_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/3-540-46033-0_20","volume-title":"Artificial Evolution","author":"D. Robilliard","year":"2002","unstructured":"Robilliard, D., Fonlupt, C.: Backwarding: An Overfitting Control for Genetic Programming in a Remote Sensing Application. In: Collet, P., Fonlupt, C., Hao, J.-K., Lutton, E., Schoenauer, M. (eds.) EA 2001. LNCS, vol.\u00a02310, pp. 245\u2013254. Springer, Heidelberg (2002)"},{"key":"19_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/3-540-61723-X_994","volume-title":"Parallel Problem Solving from Nature - PPSN IV","author":"W. Banzhaf","year":"1996","unstructured":"Banzhaf, W., Francone, F.D., Nordin, P.: The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming using Sparse Data Sets. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol.\u00a01141, pp. 300\u2013309. Springer, Heidelberg (1996)"},{"issue":"4","key":"19_CR25","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s10710-007-9040-z","volume":"8","author":"F. Archetti","year":"2007","unstructured":"Archetti, F., Messina, E., Lanzeni, S., Vanneschi, L.: Genetic programming for computational pharmacokinetics in drug discovery and development. Genetic Programming and Evolvable Machines\u00a08(4), 17\u201326 (2007)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"19_CR26","doi-asserted-by":"publisher","first-page":"45011","DOI":"10.1088\/1748-9326\/3\/4\/045011","volume":"3","author":"A. Baccini","year":"2008","unstructured":"Baccini, A., Laporte, N., Goetz, S.J., Sun, M., Dong, H.: A first map of tropical Africa\u2019s above-ground biomass derived from satellite imagery. Environmental Research Letters\u00a03, 045011 (2008)","journal-title":"Environmental Research Letters"},{"issue":"4","key":"19_CR27","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1109\/JSTARS.2010.2086436","volume":"3","author":"R. Lucas","year":"2010","unstructured":"Lucas, R., Armston, J., Fairfax, R., Fensham, R., Accad, A., Carreiras, J., Kelley, J., Bunting, P., Clewley, D., Bray, S., Metcalfe, D., Dwyer, J., Bowen, M., Eyre, T., Laidlaw, M., Shimada, M.: An Evaluation of the ALOS PALSAR L-Band Backscatter-Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\u00a03(4), 576\u2013593 (2010)","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"issue":"24","key":"19_CR28","doi-asserted-by":"publisher","first-page":"9899","DOI":"10.1073\/pnas.1019576108","volume":"108","author":"S.S. Saatchi","year":"2011","unstructured":"Saatchi, S.S., Harris, N.L., Brown, S., Lefsky, M., Mitchard, E.T.A., Salas, W., Zutta, B.R., Buermann, W., Lewis, S.L., Hagen, S., Petrova, S., White, L., Silman, M., Morel, A.: Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences\u00a0108(24), 9899\u20139904 (2011)","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"19_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1007\/3-540-58484-6_275","volume-title":"Parallel Problem Solving from Nature - PPSN III","author":"C. Gathercole","year":"1994","unstructured":"Gathercole, C., Ross, P.: Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. In: Davidor, Y., M\u00e4nner, R., Schwefel, H.-P. (eds.) PPSN 1994. LNCS, vol.\u00a0866, pp. 312\u2013321. Springer, Heidelberg (1994)"},{"key":"19_CR30","unstructured":"Liu, Y., Khoshgoftaar, T.: Reducing Overfitting in Genetic Programming Models for Software Quality Classification. In: Proceedings of the Eighth IEEE International Symposium on High Assurance Systems Engineering, pp. 56\u201365. IEEE Press (2004)"},{"key":"19_CR31","unstructured":"Gon\u00e7alves, I., Silva, S.: Experiments on Controlling Overfitting in Genetic Programming. In: 15th Portuguese Conference on Artificial Intelligence (to appear)"},{"key":"19_CR32","unstructured":"Luke, S., Panait, L.: Lexicographic parsimony pressure. In: Proceedings of GECCO 2002, pp. 829\u2013836. Morgan Kaufmann (2002)"}],"container-title":["Lecture Notes in Computer Science","Genetic Programming"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-29139-5_19.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T21:43:58Z","timestamp":1742766238000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-29139-5_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642291388","9783642291395"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-29139-5_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}