{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T20:40:07Z","timestamp":1778532007948,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":129,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540929093","type":"print"},{"value":"9783540929109","type":"electronic"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-540-92910-9_24","type":"book-chapter","created":{"date-parts":[[2012,8,25]],"date-time":"2012-08-25T14:54:06Z","timestamp":1345906446000},"page":"709-739","source":"Crossref","is-referenced-by-count":30,"title":["Genetic Programming \u2014 Introduction, Applications, Theory and Open Issues"],"prefix":"10.1007","author":[{"given":"Leonardo","family":"Vanneschi","sequence":"first","affiliation":[]},{"given":"Riccardo","family":"Poli","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"24_CR00241","volume-title":"Modularity: Understanding the Development and Evolution of Complex Natural Systems","author":"L Altenberg","year":"2009","unstructured":"Altenberg L (2009) Modularity in evolution: Some low-level questions. In: Rasskin-Gutman D, Callebaut W (eds), Modularity: Understanding the Development and Evolution of Complex Natural Systems. MIT Press, Cambridge, MA"},{"key":"24_CR00242","doi-asserted-by":"crossref","unstructured":"Alves da Silva AP, Abrao PJ (2002) Applications of evolutionary computation in electric power systems. In: Fogel DB et al. (eds), Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pp. 1057\u20131062. IEEE Press","DOI":"10.1109\/CEC.2002.1004389"},{"issue":"4","key":"24_CR00243","first-page":"17","volume":"8","author":"F Archetti","year":"2007","unstructured":"Archetti F, Messina E, Lanzeni S, Vanneschi L (2007) Genetic programming for computational pharmacokinetics in drug discovery and development. Genet Programming Evol Mach 8(4):17\u201326","journal-title":"Genet Programming Evol Mach"},{"issue":"3","key":"24_CR00244","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/s10710-005-2990-0","volume":"6","author":"Y Azaria","year":"2005","unstructured":"Azaria Y, Sipper M (2005) GP-gammon: Genetically programming backgammon players. Genet Programming Evol Mach 6(3):283\u2013300, Sept. Published online: 12 August 2005","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR00245","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/3-540-61723-X_994","volume-title":"4th International Conference on Parallel Problem Solving from Nature (PPSN96)","author":"W Banzhaf","year":"1996","unstructured":"Banzhaf W, Francone FD, Nordin P (1996) The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets. In: Ebeling W et al., (ed) 4th International Conference on Parallel Problem Solving from Nature (PPSN96), Springer, Berlin, pp. 300\u2013309"},{"key":"24_CR00246","doi-asserted-by":"crossref","DOI":"10.1007\/BFb0055923","volume-title":"Genetic Programming, An Introduction","author":"W Banzhaf","year":"1998","unstructured":"Banzhaf W, Nordin P, Keller RE, Francone FD (1998) Genetic Programming, An Introduction. Morgan Kaufmann, San Francisco, CA"},{"key":"24_CR00247","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/978-3-540-36266-1_10","volume-title":"Applications of Soft Computing: Recent Trends","author":"SJ Barrett","year":"2006","unstructured":"Barrett SJ, Langdon WB (2006) Advances in the application of machine learning techniques in drug discovery, design and development. In: Tiwari A et al. (eds), Applications of Soft Computing: Recent Trends, Advances in Soft Computing, On the World Wide Web, 19 Sept.\u20137 Oct. 2005. Springer, Berlin, 99\u2013110"},{"issue":"4","key":"24_CR00248","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/51.853480","volume":"19","author":"CC Bojarczuk","year":"2008","unstructured":"Bojarczuk CC, Lopes HS, Freitas AA (July\u2013Aug. 2008) Genetic programming for knowledge discovery in chest-pain diagnosis. IEEE Eng Med Biol Mag 19(4):38\u201344","journal-title":"IEEE Eng Med Biol Mag"},{"issue":"1","key":"24_CR00249","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/4235.910462","volume":"5","author":"M Brameier","year":"2001","unstructured":"Brameier M, Banzhaf W (2001) A comparison of linear genetic programming and neural networks in medical data mining. IEEE Trans Evol Comput 5(1):17\u201326","journal-title":"IEEE Trans Evol Comput"},{"key":"24_CR002410","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.1109\/CEC.2005.1554821","volume-title":"Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC\u201905)","author":"S Cagnoni","year":"2005","unstructured":"Cagnoni S, Rivero D, Vanneschi L (2005) A purely-evolutionary memetic algorithm as a first step towards symbiotic coevolution. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC\u201905), Edinburgh, Scotland, 2005. IEEE Press, Piscataway, NJ. pp. 1156\u20131163"},{"key":"24_CR002411","doi-asserted-by":"crossref","unstructured":"Castillo F, Kordon A, Smits G (2006) Robust pareto front genetic programming parameter selection based on design of experiments and industrial data. In: Riolo RL, et al. (ed) Genetic Programming Theory and Practice IV, vol 5 of Genetic and Evolutionary Computation, chapter 2. Springer, Ann Arbor, 11\u201313 May","DOI":"10.1145\/1143997.1144264"},{"issue":"1","key":"24_CR002412","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.ins.2003.03.026","volume":"170","author":"S-H Chen","year":"2005","unstructured":"Chen S-H, Liao C-C (2005) Agent-based computational modeling of the stock price-volume relation. Inf Sci 170(1):75\u2013100, 18 Feb","journal-title":"Inf Sci"},{"key":"24_CR002413","unstructured":"Chen S-H, Wang H-S, Zhang B-T (1999) Forecasting high-frequency financial time series with evolutionary neural trees: The case of Hang Seng stock index. In: Arabnia HR, (ed), Proceedings of the International Conference on Artificial Intelligence, IC-AI '99, vol 2, Las Vegas, NV, 28 June-1 July. CSREA Press pp. 437\u2013443"},{"key":"24_CR002414","doi-asserted-by":"crossref","unstructured":"Da Costa LE, Landry JA (2006) Relaxed genetic programming. In: Keijzer M et al., editor, GECCO 2006: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, vol 1, Seattle, Washington, DC, 8\u201312 July. ACM Press pp. 937\u2013938","DOI":"10.1145\/1143997.1144158"},{"issue":"4","key":"24_CR002415","doi-asserted-by":"publisher","first-page":"686","DOI":"10.1016\/j.compchemeng.2005.11.007","volume":"30","author":"E Dassau","year":"2006","unstructured":"Dassau E, Grosman B, Lewin DR (2006) Modeling and temperature control of rapid thermal processing. Comput Chem Eng 30(4):686\u2013697, 15 Feb","journal-title":"Comput Chem Eng"},{"issue":"3","key":"24_CR002416","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1162\/evco.1993.1.3.269","volume":"1","author":"TE Davis","year":"1993","unstructured":"Davis TE, Principe JC (1993) A Markov chain framework for the simple genetic algorithm. Evol Comput 1(3):269\u2013288","journal-title":"Evol Comput"},{"key":"24_CR002417","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1022606120092","volume":"3","author":"KA De Jong","year":"1988","unstructured":"De Jong KA (1988) Learning with genetic algorithms: An overview. Mach Learn 3:121\u2013138","journal-title":"Mach Learn"},{"key":"24_CR002418","volume-title":"Grammatical evolution in dynamic environments","author":"I Dempsey","year":"2007","unstructured":"Dempsey I (2007) Grammatical evolution in dynamic environments. Ph.D. thesis, University College Dublin, Ireland"},{"key":"24_CR002419","doi-asserted-by":"crossref","unstructured":"Dignum S, Poli R (2007) Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat. In: Thierens, D et al. (eds), GECCO '07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, vol 2 London, 7\u201311 July 2007. ACM Press, pp. 1588\u20131595","DOI":"10.1145\/1276958.1277277"},{"issue":"4","key":"24_CR002479","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1023\/A:1009868929893","volume":"3","author":"P Domingos","year":"1999","unstructured":"Domingos P (1999) The role of Occam's razor in knowledge discovery. Data Mining Knowl Discov 3(4):409\u2013425","journal-title":"Data Mining Knowl Discov"},{"key":"24_CR002420","first-page":"582","volume-title":"Congress on Evolutionary Computation (CEC\u201902)","author":"AE Eiben","year":"2002","unstructured":"Eiben AE, Jelasity M (2002) A critical note on experimental research methodology in EC. In: Congress on Evolutionary Computation (CEC\u201902), Honolulu, HI, 2002. IEEE Press, Piscataway, NJ, pp. 582\u2013587"},{"key":"24_CR002421","volume-title":"IEEE Workshop on Neural Networks for Signal Processing","author":"AI Esparcia-Alcazar","year":"1996","unstructured":"Esparcia-Alcazar AI, Sharman KC (Sept. 1996) Genetic programming techniques that evolve recurrent neural networks architectures for signal processing. In: IEEE Workshop on Neural Networks for Signal Processing, Seiko, Kyoto, Japan"},{"key":"24_CR002422","doi-asserted-by":"crossref","unstructured":"Fernandez F, Martin A (2004) Saving effort in parallel GP by means of plagues. In: Keijzer M, et al. (eds), Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, vol 3003 of LNCS, Coimbra, Portugal, 5\u20137 Apr. Springer-Verlag, pp. 269\u2013278","DOI":"10.1007\/978-3-540-24650-3_25"},{"key":"24_CR002423","doi-asserted-by":"crossref","unstructured":"Fernandez F, Tomassini M, Vanneschi L (2003) Saving computational effort in genetic programming by means of plagues. In: Sarker, R et al. (eds), Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, Camberra, 8\u201312 Dec. 2003. IEEE Press, pp. 2042\u20132049","DOI":"10.1109\/CEC.2003.1299924"},{"key":"24_CR002424","doi-asserted-by":"crossref","unstructured":"Fernandez F, Vanneschi L, Tomassini M (2003) The effect of plagues in genetic programming: A study of variable-size populations. In: Ryan, C et al. (ed) Genetic Programming, Proceedings of EuroGP'2003, vol 2610 of LNCS, Essex, 14\u201316 Apr. Springer-Verlag, pp. 317\u2013326","DOI":"10.1007\/3-540-36599-0_29"},{"key":"24_CR002425","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1023\/A:1022626114466","volume":"13","author":"S Forrest","year":"1993","unstructured":"Forrest S, Mitchell M (1993) What makes a problem hard for a genetic algorithm? Some anomalous results and their explanation. Mach Learn 13:285\u2013319","journal-title":"Mach Learn"},{"key":"24_CR002426","first-page":"72","volume-title":"Genetic Programming: Proceedings of the First Annual Conference","author":"FD Francone","year":"1996","unstructured":"Francone FD, Nordin P, Banzhaf W (1996) Benchmarking the generalization capabilities of a compiling genetic programming system using sparse data sets. In: Koza JR et al. (ed), Genetic Programming: Proceedings of the First Annual Conference, MIT Press, Cambridge, pp. 72\u201380"},{"key":"24_CR002427","first-page":"95","volume-title":"Genetic Programming 1998: Proceedings of the Third Annual Conference","author":"A Fukunaga","year":"1998","unstructured":"Fukunaga A, Stechert A (1998) Evolving nonlinear predictive models for lossless image compression with genetic programming. In: Koza, JR et al. (eds), Genetic Programming 1998: Proceedings of the Third Annual Conference, University of Wisconsin, Madison, WI, 22\u201325 July, Morgan Kaufmann pp. 95\u2013102"},{"key":"24_CR002428","series-title":"Lecture Notes in Computer Science, LNCS 3905","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/11729976_10","volume-title":"Genetic Programming, 9th European Conference, EuroGP2006","author":"C Gagn\u00e9","year":"2006","unstructured":"Gagn\u00e9 C, Schoenauer M, Parizeau M, Tomassini M (2006) Genetic programming, validation sets, and parsimony pressure. In: Collet P et al. (ed), Genetic Programming, 9th European Conference, EuroGP2006, Lecture Notes in Computer Science, LNCS 3905, pp. 109\u2013120. Springer, Berlin, Heidelberg, New York"},{"key":"24_CR002429","first-page":"371","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN VII, vol 2439 of Lecture Notes in Computer Science","author":"M Giacobini","year":"2002","unstructured":"Giacobini M, Tomassini M, Vanneschi L (2002) Limiting the number of fitness cases in genetic programming using statistics. In: Merelo JJ, et al. (eds), Parallel Problem Solving from Nature \u2013 PPSN VII, vol 2439 of Lecture Notes in Computer Science, Springer-Verlag, Heidelberg, pp. 371\u2013380"},{"key":"24_CR002430","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"DE Goldberg","year":"1989","unstructured":"Goldberg DE (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Boston, MA"},{"key":"24_CR002431","series-title":"Lecture Notes in Computer Science, LNCS 3447","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1007\/978-3-540-31989-4_16","volume-title":"Genetic Programming, 8th European Conference, EuroGP2005","author":"S Gustafson","year":"2005","unstructured":"Gustafson S, Vanneschi L (2005) Operator-based distance for genetic programming: Subtree crossover distance. In: Keijzer, M., et al. (ed), Genetic Programming, 8th European Conference, EuroGP2005, Lecture Notes in Computer Science, LNCS 3447, pp. 178\u2013189. Springer, Berlin, Heidelberg, New York"},{"key":"24_CR002432","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TEVC.2008.915993","volume":"12","author":"S Gustafson","year":"2008","unstructured":"Gustafson S, Vanneschi L (2008) Operator-based tree distance in genetic programming. IEEE Trans Evol Comput 12:4","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"24_CR002433","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1016\/j.dss.2006.04.004","volume":"43","author":"JV Hansen","year":"2007","unstructured":"Hansen JV, Lowry PB, Meservy RD, McDonald DM (Aug. 2007) Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection. Decis Support Syst 43(4):1362\u20131374, Special Issue Clusters","journal-title":"Decis Support Syst"},{"issue":"6","key":"24_CR002434","doi-asserted-by":"publisher","first-page":"e61","DOI":"10.1371\/journal.pcbi.0020061","volume":"2","author":"S Hasan","year":"2006","unstructured":"Hasan S, Daugelat S, Rao PSS, Schreiber M (June 2006) Prioritizing genomic drug targets in pathogens: Application to mycobacterium tuberculosis. PLoS Comput Biol 2(6):e61","journal-title":"PLoS Comput Biol"},{"key":"24_CR002435","doi-asserted-by":"crossref","unstructured":"Hauptman A, Sipper M (2007) Evolution of an efficient search algorithm for the mate-in-N problem in chess. In: Ebner, M et al. (eds), Proceedings of the 10th European Conference on Genetic Programming, vol 4445 of Lecture Notes in Computer Science Valencia, Spain, 11\u201313 Apr. Springer pp. 78\u201389","DOI":"10.1007\/978-3-540-71605-1_8"},{"key":"24_CR002436","doi-asserted-by":"crossref","unstructured":"Hemberg E, Gilligan C, O'Neill M, Brabazon A (2007) A grammatical genetic programming approach to modularity in genetic algorithms. In: Ebner, M et al. (eds), Proceedings of the 10th European Conference on Genetic Programming, vol 4445 of Lecture Notes in Computer Science, Valencia, Spain, 11\u201313 Apr. Springer pp. 1\u201311","DOI":"10.1007\/978-3-540-71605-1_1"},{"key":"24_CR002437","volume-title":"Adaptation in Natural and Artificial Systems","author":"JH Holland","year":"1975","unstructured":"Holland JH (1975) Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI"},{"key":"24_CR002438","doi-asserted-by":"crossref","unstructured":"Horn J, Goldberg DE (1995) Genetic algorithm difficulty and the modality of the fitness landscapes. In: Whitley D, Vose M (eds), Foundations of Genetic Algorithms, vol. 3, Morgan Kaufmann, pp. 243\u2013269","DOI":"10.1016\/B978-1-55860-356-1.50016-9"},{"key":"24_CR002439","first-page":"263","volume-title":"Genetic Programming Theory and Practice II","author":"D Howard","year":"2004","unstructured":"Howard D, Roberts SC (2004) Incident detection on highways. In: O'Reilly, U-M et al., (eds), Genetic Programming Theory and Practice II, chapter 16, Springer, Ann Arbor, 13\u201315 May pp. 263\u2013282"},{"issue":"3","key":"24_CR002440","first-page":"83","volume":"15","author":"C Jacob","year":"2000","unstructured":"Jacob C (May\u2013June 2000) The art of genetic programming. IEEE Intell Syst 15(3):83\u201384, May\u2013June","journal-title":"IEEE Intell Syst"},{"key":"24_CR002441","volume-title":"Illustrating Evolutionary Computation with Mathematica","author":"C Jacob","year":"2001","unstructured":"Jacob C (2001) Illustrating Evolutionary Computation with Mathematica. Morgan Kaufmann, San Francisco, CA"},{"key":"24_CR002442","doi-asserted-by":"crossref","unstructured":"Jakobovi\u0107 D, Budin L (2006) Dynamic scheduling with genetic programming. In: Collet, P et al. (eds), Proceedings of the 9th European Conference on Genetic Programming, vol 3905 of Lecture Notes in Computer Science, Budapest, Hungary, 10\u201312 Apr. Springer pp. 73\u201384","DOI":"10.1007\/11729976_7"},{"key":"24_CR002443","first-page":"7913","volume-title":"Proceedings of the 2006 IEEE Congress on Evolutionary Computation","author":"N Jin","year":"2006","unstructured":"Jin N, Tsang E (2006) Co-adaptive strategies for sequential bargaining problems with discount factors and outside options. In: Proceedings of the 2006 IEEE Congress on Evolutionary Computation, Vancouver, 6\u201321 July. IEEE Press, pp. 7913\u20137920"},{"key":"24_CR002444","volume-title":"Evolutionary algorithms, fitness landscapes and search","author":"T Jones","year":"1995","unstructured":"Jones T (1995) Evolutionary algorithms, fitness landscapes and search. Ph.D. thesis, University of New Mexico, Albuquerque"},{"key":"24_CR002445","first-page":"556","volume-title":"Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference","author":"I Jonyer","year":"2006","unstructured":"Jonyer I, Himes A (2006) Improving modularity in genetic programming using graph-based data mining. In: Sutcliffe GCJ, Goebe RG (eds), Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, pp. 556\u2013561, Melbourne Beach, FL, May 11\u201313 2006. American Association for Artificial Intelligence"},{"key":"24_CR002446","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1007\/11844297_33","volume-title":"Parallel Problem Solving from Nature \u2013 PPSN IX, vol 4193 of LNCS","author":"E Jordaan","year":"2006","unstructured":"Jordaan E, den Doelder J, Smits G (2006) Novel approach to develop structure-property relationships using genetic programming. In: Runarsson TP, et al. (eds), Parallel Problem Solving from Nature \u2013 PPSN IX, vol 4193 of LNCS, Reykjavik, Iceland, 9\u201313 Sept. Springer-Verlag pp. 322\u2013331"},{"issue":"34","key":"24_CR002447","doi-asserted-by":"publisher","first-page":"13711","DOI":"10.1073\/pnas.0611630104","volume":"104","author":"N Kashtan","year":"2007","unstructured":"Kashtan N, Noor E, Alon U (2007) Varying environments can speed up evolution. Proceedings of the National Academy of Sciences, 104(34):13711\u201313716, August 21","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"24_CR002448","volume-title":"Proceedings of the IEEE World Congress on Computational Intelligence","author":"A Kattan","year":"2008","unstructured":"Kattan A, Poli R (2008) Evolutionary lossless compression with GP-ZIP. In Proceedings of the IEEE World Congress on Computational Intelligence, Hong Kong, 1\u20136 June. IEEE"},{"issue":"3","key":"24_CR002449","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1023\/B:GENP.0000030195.77571.f9","volume":"5","author":"M Keijzer","year":"2004","unstructured":"Keijzer M (Sept. 2004) Scaled symbolic regression. Genetic Programming and Evolvable Machines, 5(3):259\u2013269","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"24_CR002450","doi-asserted-by":"crossref","unstructured":"Kibria RH, Li Y (2006) Optimizing the initialization of dynamic decision heuristics in DPLL SAT solvers using genetic programming. In: Collet P, et al. (eds), Proceedings of the 9th European Conference on Genetic Programming, vol. 3905 of Lecture Notes in Computer Science, Budapest, Hungary, 10\u201312 Apr. Springer. pp. 331\u2013340","DOI":"10.1007\/11729976_30"},{"key":"24_CR002451","first-page":"142","volume-title":"Proceedings of the First IEEE Congress on Evolutionary Computation","author":"KE Kinnear Jr","year":"1994","unstructured":"Kinnear KE Jr (1994) Fitness landscapes and difficulty in genetic programming. In: Proceedings of the First IEEE Congress on Evolutionary Computation, IEEE Press, Piscataway, NY, pp. 142\u2013147"},{"key":"24_CR002452","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/BF03024407","volume":"19","author":"W Kirchherr","year":"1997","unstructured":"Kirchherr W, Li M, Vitanyi P (1997) The miraculous universal distribution. Math Intell 19:7\u201315","journal-title":"Math Intell"},{"key":"24_CR002453","volume-title":"Wavelet Applications in Signal and Image Processing III","author":"A Klappenecker","year":"1995","unstructured":"Klappenecker A, May FU (1995) Evolving better wavelet compression schemes. In: Laine, AF et al. (ed), Wavelet Applications in Signal and Image Processing III, vol 2569, San Diego, CA 9\u201314 July. SPIE"},{"issue":"3","key":"24_CR002454","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1145\/1181964.1181965","volume":"1","author":"A Kordon","year":"2006","unstructured":"Kordon A (Sept. 2006) Evolutionary computation at Dow Chemical. SIGEVOlution, 1(3):4\u20139","journal-title":"SIGEVOlution"},{"key":"24_CR002455","unstructured":"Koza J, Poli R (2003) A genetic programming tutorial. In: Burke E (ed) Introductory Tutorials in Optimization, Search and Decision Support, Chapter 8. http:\/\/www.genetic-programming.com\/jkpdf\/burke2003tutorial.pdf"},{"key":"24_CR002456","doi-asserted-by":"crossref","unstructured":"Koza JR (1992a) A genetic approach to the truck backer upper problem and the inter-twined spiral problem. In Proceedings of IJCNN International Joint Conference on Neural Networks, vol IV, IEEE Press, pp. 310\u2013318","DOI":"10.1109\/IJCNN.1992.227324"},{"key":"24_CR002457","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"JR Koza","year":"1992","unstructured":"Koza JR (1992b) Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA"},{"key":"24_CR002458","volume-title":"Genetic Programming II","author":"JR Koza","year":"1994","unstructured":"Koza JR (1994) Genetic Programming II. The MIT Press, Cambridge, MA"},{"key":"24_CR002459","first-page":"93","volume-title":"Genetic Programming, Proceedings of EuroGP'99, vol 1598 of LNCS","author":"JR Koza","year":"1999","unstructured":"Koza JR, Bennett FH III, Stiffelman O (1999) Genetic programming as a Darwinian invention machine. In: Poli R, et al. (eds) Genetic Programming, Proceedings of EuroGP'99, vol 1598 of LNCS, Goteborg, Sweden, 26\u201327 May. Springer-Verlag pp. 93\u2013108"},{"key":"24_CR002460","volume-title":"Genetic Programming III: Darwinian Invention and Problem Solving","author":"JR Koza","year":"1999","unstructured":"Koza JR, Bennett FH III, Andre D, Keane MA (1999) Genetic Programming III: Darwinian Invention and Problem Solving. Morgan Kaufmann, San Francisco, CA"},{"issue":"1","key":"24_CR002461","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1023\/A:1016379201230","volume":"18","author":"I Kushchu","year":"2002","unstructured":"Kushchu I (2002) An evaluation of evolutionary generalization in genetic programming. Artif Intell Rev 18(1):3\u201314","journal-title":"Artif Intell Rev"},{"key":"24_CR002462","doi-asserted-by":"crossref","first-page":"1702","DOI":"10.1007\/3-540-45110-2_63","volume-title":"Genetic and Evolutionary Computation \u2013 GECCO-2003, vol 2724 of LNCS","author":"WB Langdon","year":"2003","unstructured":"Langdon WB (2003) Convergence of program fitness landscapes. In: Cant\u00fa-Paz, E., et al. (ed) Genetic and Evolutionary Computation \u2013 GECCO-2003, vol 2724 of LNCS, Springer-Verlag, Berlin, pp. 1702\u20131714"},{"issue":"3","key":"24_CR002463","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1023\/B:GENP.0000030196.55525.f7","volume":"5","author":"WB Langdon","year":"2004","unstructured":"Langdon WB, Buxton BF (Sept. 2004) Genetic programming for mining DNA chip data from cancer patients. Genet Programming Evol Mach, 5(3):251\u2013257","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR002464","first-page":"96","volume-title":"Proceedings of the First European Workshop on Genetic Programming, vol 1391 of LNCS","author":"WB Langdon","year":"1998","unstructured":"Langdon WB, Poli R (1998) Genetic programming bloat with dynamic fitness. In: Banzhaf W, et al. (eds), Proceedings of the First European Workshop on Genetic Programming, vol 1391 of LNCS, Paris, 14\u201315 Apr. Springer-Verlag. pp. 96\u2013112"},{"key":"24_CR002465","doi-asserted-by":"crossref","unstructured":"Langdon WB, Poli R (2002) Foundations of Genetic Programming. Springer-Verlag","DOI":"10.1007\/978-3-662-04726-2"},{"key":"24_CR002466","doi-asserted-by":"publisher","first-page":"2621","DOI":"10.1109\/CEC.2005.1555023","volume-title":"Proceedings of the 2005 IEEE Congress on Evolutionary Computation","author":"WB Langdon","year":"2005","unstructured":"Langdon WB, Poli R (2005) Evolutionary solo pong players. In: Corne, D et al. (eds), Proceedings of the 2005 IEEE Congress on Evolutionary Computation, vol 3, Edinburgh, U.K., 2\u20135 Sept. IEEE Press pp. 2621\u20132628"},{"key":"24_CR002467","first-page":"163","volume-title":"Advances in Genetic Programming 3","author":"WB Langdon","year":"1999","unstructured":"Langdon WB, Soule T, Poli R, Foster JA (June 1999) The evolution of size and shape. In Spector, L et al. (eds), Advances in Genetic Programming 3, chapter 8, pp. 163\u2013190. MIT Press, Cambridge, MA"},{"issue":"8","key":"24_CR002468","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1016\/j.ymssp.2005.12.003","volume":"20","author":"TL Lew","year":"2006","unstructured":"Lew TL, Spencer AB, Scarpa F, Worden K, Rutherford A, Hemez F (Nov. 2006) Identification of response surface models using genetic programming. Mech Syst Signal Process 20(8):1819\u20131831","journal-title":"Mech Syst Signal Process"},{"issue":"7","key":"24_CR002469","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1016\/j.conengprac.2006.04.003","volume":"15","author":"DR Lewin","year":"2006","unstructured":"Lewin DR, Lachman-Shalem S, Grosman B (July 2006) The role of process system engineering (PSE) in integrated circuit (IC) manufacturing. Control Eng Pract 15(7):793\u2013802 Special Issue on Award Winning Applications, 2005 IFAC World Congress","journal-title":"Control Eng Pract"},{"issue":"2","key":"24_CR002470","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1023\/A:1011544128842","volume":"2","author":"J Louchet","year":"2001","unstructured":"Louchet J (June 2001) Using an individual evolution strategy for stereovision. Genet Programming Evol Mach 2(2):101\u2013109","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR002471","unstructured":"Lutton E, Levy-Vehel J, Cretin G, Glevarec P, Roll C (1995) Mixed IFS: Resolution of the inverse problem using genetic programming. Research Report No 2631, INRIA"},{"key":"24_CR002472","doi-asserted-by":"crossref","unstructured":"Machado P, Romero J (eds). (2008) The Art of Artificial Evolution. Springer","DOI":"10.1007\/978-3-540-72877-1"},{"key":"24_CR002473","unstructured":"McPhee NF, Miller JD (1995) Accurate replication in genetic programming. In: Eshelman L (ed), Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), Pittsburgh, PA 15\u201319 July Morgan Kaufmann pp. 303\u2013309"},{"key":"24_CR002474","unstructured":"Miller J (2001) What bloat? Cartesian genetic programming on Boolean problems. In: Goodman ED (ed), 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, pp. 295\u2013302, San Francisco, CA 9\u201311 July"},{"issue":"1","key":"24_CR002475","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.tcs.2006.04.006","volume":"361","author":"B Mitavskiy","year":"2006","unstructured":"Mitavskiy B, Rowe J (2006) Some results about the Markov chains associated to GPs and to general EAs. Theor Comput Sci 361(1):72\u2013110 28 Aug","journal-title":"Theor Comput Sci"},{"key":"24_CR002476","unstructured":"Mitchell M, Forrest S, Holland J (1992) The royal road for genetic algorithms: Fitness landscapes and GA performance. In: Varela F, Bourgine P (eds), Toward a Practice of Autonomous Systems, Proceedings of the First European Conference on Artificial Life, The MIT Press, pp. 245\u2013254"},{"key":"24_CR002477","doi-asserted-by":"crossref","unstructured":"Nikolaev NI, Slavov V (1998) Concepts of inductive genetic programming. In: Banzhaf, W., et al. (ed), Genetic Programming, Proceedings of EuroGP\u20191998, vol 1391 of LNCS, Springer-Verlag, pp. 49\u201359","DOI":"10.1007\/BFb0055927"},{"key":"24_CR002478","unstructured":"Nordin P, Banzhaf W (1996) Programmatic compression of images and sound. In: Koza JR, et al. (eds), Genetic Programming 1996: Proceedings of the First Annual Conference, Stanford University, CA 28\u201331 July. MIT Press pp. 345\u2013350"},{"key":"24_CR002480","unstructured":"Poli R (1996) Genetic programming for image analysis. In: Koza JR et al. (eds), Genetic Programming 1996: Proceedings of the First Annual Conference, Stanford University, CA 28\u201331 July MIT Press pp. 363\u2013368"},{"issue":"2","key":"24_CR002481","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1023\/A:1011552313821","volume":"2","author":"R Poli","year":"2001","unstructured":"Poli R (2001) Exact schema theory for genetic programming and variable-length genetic algorithms with one-point crossover. Genet Programming Evol Mach 2(2):123\u2013163","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR002482","unstructured":"Poli R, Langdon WB (1997) Genetic programming with one-point crossover and point mutation. Tech. Rep. CSRP-97-13, University of Birmingham, B15 2TT, U.K., 15"},{"key":"24_CR002483","volume-title":"Genetic Programming Theory and Practice IV, vol 5 of Genetic and Evolutionary Computation","author":"R Poli","year":"2006","unstructured":"Poli R, Langdon WB (2006) Efficient Markov chain model of machine code program execution and halting. In: Riolo RL, et al. (eds), Genetic Programming Theory and Practice IV, vol 5 of Genetic and Evolutionary Computation, chapter 13. Springer, Ann Arbor, 11\u201313 May"},{"key":"24_CR002484","doi-asserted-by":"crossref","unstructured":"Poli R, Langdon WB, Dignum S (2007) On the limiting distribution of program sizes in tree-based genetic programming. In: Ebner, M et al. (eds), Proceedings of the 10th European Conference on Genetic Programming, vol 4445 of Lecture Notes in Computer Science, Valencia, Spain, 11\u201313 Apr. Springer pp. 193\u2013204","DOI":"10.1007\/978-3-540-71605-1_18"},{"issue":"1","key":"24_CR002485","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1162\/106365603321829005","volume":"11","author":"R Poli","year":"2003","unstructured":"Poli R, McPhee NF (Mar. 2003a) General schema theory for genetic programming with subtree-swapping crossover: Part I. Evol Comput 11(1):53\u201366","journal-title":"Evol Comput"},{"issue":"2","key":"24_CR002486","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1162\/106365603766646825","volume":"11","author":"R Poli","year":"2003","unstructured":"Poli R, McPhee NF (June 2003b) General schema theory for genetic programming with subtree-swapping crossover: Part II. Evol Comput 11(2):169\u2013206","journal-title":"Evol Comput"},{"key":"24_CR002487","doi-asserted-by":"publisher","first-page":"1267","DOI":"10.1145\/1389095.1389340","volume-title":"GECCO \u201908: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation","author":"R Poli","year":"2008","unstructured":"Poli R, McPhee NF (2008) Parsimony pressure made easy. In: GECCO \u201908: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, pp. 1267\u20131274, New York, NY, ACM"},{"issue":"1","key":"24_CR002488","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1023\/B:GENP.0000017010.41337.a7","volume":"5","author":"R Poli","year":"2004","unstructured":"Poli R, McPhee NF, Rowe JE (Mar. 2004) Exact schema theory and Markov chain models for genetic programming and variable-length genetic algorithms with homologous crossover. Genet Programming Evol Mach 5(1):31\u201370","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR002489","unstructured":"Poli R, McPhee NF, Graff M (2009) Free lunches for symbolic regression. In: Foundations of Genetic Algorithms (FOGA). ACM, forthcoming"},{"key":"24_CR002490","unstructured":"Poli R, Langdon WB, McPhee NF (2008) A Field Guide to Genetic Programming. Published via http:\/\/lulu.com and freely available at http:\/\/www.gp-field-guide.org.uk, (With contributions by J. R. Koza)"},{"key":"24_CR002491","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/0005-1098(78)90005-5","volume":"14","author":"J Rissanen","year":"1978","unstructured":"Rissanen J (1978) Modeling by shortest data description. Automatica 14:465\u2013471","journal-title":"Automatica"},{"key":"24_CR002492","doi-asserted-by":"crossref","unstructured":"Rochat D, Tomassini M, Vanneschi L (2005) Dynamic size populations in distributed genetic programming. In: Keijzer M, et al. (eds), Proceedings of the 8th European Conference on Genetic Programming, vol 3447 of Lecture Notes in Computer Science, Lausanne, Switzerland, 30 Mar.\u20131 Apr. Springer. pp. 50\u201361","DOI":"10.1007\/978-3-540-31989-4_5"},{"key":"24_CR002493","unstructured":"Rosca JP (1995) Towards automatic discovery of building blocks in genetic programming. In: Working Notes for the AAAI Symposium on Genetic Programming, AAAI, pp. 78\u201385"},{"issue":"1","key":"24_CR002494","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/72.265964","volume":"5","author":"G Rudolph","year":"1994","unstructured":"Rudolph G (1994) Convergence analysis of canonical genetic algorithm. IEEE Trans Neural Netw 5(1):96\u2013101","journal-title":"IEEE Trans Neural Netw"},{"key":"24_CR002495","doi-asserted-by":"crossref","unstructured":"Rudolph G (1996) Convergence of evolutionary algorithms in general search spaces. In: International Conference on Evolutionary Computation, pp. 50\u201354","DOI":"10.1109\/ICEC.1996.542332"},{"key":"24_CR002496","unstructured":"Schumacher C, Vose MD, Whitley LD (2001) The no free lunch and problem description length. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Morgan Kaufmann, pp. 565\u2013570"},{"key":"24_CR002497","first-page":"94","volume-title":"Working Notes for the AAAI Symposium on Genetic Programming","author":"G Seront","year":"1995","unstructured":"Seront G (1995) External concepts reuse in genetic programming. In: Siegel EV, Koza JR (eds), Working Notes for the AAAI Symposium on Genetic Programming, MIT, Cambridge, MA 10\u201312 Nov. AAAI pp. 94\u201398"},{"issue":"3","key":"24_CR002498","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.artmed.2004.04.002","volume":"31","author":"SC Shah","year":"2004","unstructured":"Shah SC, Kusiak A (July 2004) Data mining and genetic algorithm based gene\/SNP selection. Artif Intell Med 31(3):183\u2013196","journal-title":"Artif Intell Med"},{"key":"24_CR002499","volume-title":"Controlling bloat: individual and population based approaches in genetic programming","author":"S Silva","year":"2008","unstructured":"Silva S (2008) Controlling bloat: individual and population based approaches in genetic programming. Ph.D. thesis, Universidade de Coimbra, Faculdade de Ciences e Tecnologia, Departamento de Engenharia Informatica, Portugal"},{"key":"24_CR0024100","unstructured":"Smola AJ, Scholkopf B (1999) A tutorial on support vector regression. Technical Report Technical Report Series \u2013 NC2-TR-1998-030, NeuroCOLT2"},{"issue":"4","key":"24_CR0024101","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1162\/evco.1998.6.4.293","volume":"6","author":"T Soule","year":"1998","unstructured":"Soule T, Foster JA (1998a) Effects of code growth and parsimony pressure on populations in genetic programming. Evol Comput 6(4):293\u2013309, Winter","journal-title":"Evol Comput"},{"key":"24_CR0024102","doi-asserted-by":"crossref","unstructured":"Soule T, Foster JA (1998b) Removal bias: A new cause of code growth in tree based evolutionary programming. In 1998 IEEE International Conference on Evolutionary Computation, Anchorage, Alaska 5\u20139 May IEEE Press. pp. 781\u2013186","DOI":"10.1109\/ICEC.1998.700151"},{"key":"24_CR0024103","first-page":"99","volume-title":"Working Notes for the AAAI Symposium on Genetic Programming","author":"L Spector","year":"1995","unstructured":"Spector L (1995) Evolving control structures with automatically defined macros. In: Siegel EV, Koza JR (eds), Working Notes for the AAAI Symposium on Genetic Programming, MIT, Cambridge, MA 10\u201312 Nov. AAAI pp. 99\u2013105"},{"key":"24_CR0024104","unstructured":"Stadler PF (2002) Fitness landscapes. In: L\u00e4ssig M, Valleriani A (eds), Biological Evolution and Statistical Physics, vol 585 of Lecture Notes Physics, pp. 187\u2013207, Heidelberg, Springer-Verlag"},{"issue":"2","key":"24_CR0024105","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1162\/evco.1999.7.2.109","volume":"7","author":"CR Stephens","year":"1999","unstructured":"Stephens CR, Waelbroeck H (1999) Schemata evolution and building blocks. Evol Comput 7(2):109\u2013124","journal-title":"Evol Comput"},{"key":"24_CR0024106","doi-asserted-by":"crossref","unstructured":"Tomassini M, Vanneschi L, Cuendet J, Fernandez F (2004) A new technique for dynamic size populations in genetic programming. In: Proceedings of the 2004 IEEE Congress on Evolutionary Computation, Portland, Oregon, 20\u201323 June. IEEE Press pp. 486\u2013493","DOI":"10.1109\/CEC.2004.1330896"},{"issue":"2","key":"24_CR0024107","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1162\/1063656054088549","volume":"13","author":"M Tomassini","year":"2005","unstructured":"Tomassini M, Vanneschi L, Collard P, Clergue M (2005) A study of fitness distance correlation as a difficulty measure in genetic programming. Evol Comput 13(2):213\u2013239, Summer","journal-title":"Evol Comput"},{"key":"24_CR0024108","doi-asserted-by":"crossref","unstructured":"Trujillo L, Olague G (2006) Using evolution to learn how to perform interest point detection. In: X Y T et al. (ed), ICPR 2006 18th International Conference on Pattern Recognition, vol 1, IEEE, pp. 211\u2013214. 20\u201324 Aug","DOI":"10.1109\/ICPR.2006.1153"},{"key":"24_CR0024109","doi-asserted-by":"crossref","unstructured":"Tsang E, Jin N (2006) Incentive method to handle constraints in evolutionary. In: Collet P, et al. (eds), Proceedings of the 9th European Conference on Genetic Programming, vol 3905 of Lecture Notes in Computer Science, Budapest, Hungary, 10\u201312 Apr. Springer. pp. 133\u2013144","DOI":"10.1007\/11729976_12"},{"key":"24_CR0024110","volume-title":"Theory and practice for efficient genetic programming Ph.D. thesis","author":"L Vanneschi","year":"2004","unstructured":"Vanneschi L (2004) Theory and practice for efficient genetic programming Ph.D. thesis, Faculty of Sciences, University of Lausanne, Switzerland"},{"key":"24_CR0024111","doi-asserted-by":"crossref","unstructured":"Vanneschi L (2007) Investigating problem hardness of real life applications. In: R. R. et al., (ed), Genetic Programming Theory and Practice V, Springer, Computer Science Collection, pp. 107\u2013124, Chapter 7","DOI":"10.1007\/978-0-387-76308-8_7"},{"key":"24_CR0024112","doi-asserted-by":"crossref","unstructured":"Vanneschi L, Clergue M, Collard P, Tomassini M, V\u00e9rel S (2004) Fitness clouds and problem hardness in genetic programming. In: Deb K, et al. (eds), Genetic and Evolutionary Computation \u2013 GECCO-2004, Part II, vol 3103 of Lecture Notes in Computer Science Seattle, WA 26\u201330 June, Springer-Verlag pp. 690\u2013701","DOI":"10.1007\/978-3-540-24855-2_76"},{"key":"24_CR0024113","series-title":"Lecture Notes in Computer Science, LNCS 3905","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1007\/11729976_21","volume-title":"Genetic Programming, 9th European Conference, EuroGP2006","author":"L Vanneschi","year":"2006","unstructured":"Vanneschi L, Gustafson S, Mauri G (2006) Using subtree crossover distance to investigate genetic programming dynamics. In: Collet, P., et al. (ed), Genetic Programming, 9th European Conference, EuroGP2006, Lecture Notes in Computer Science, LNCS 3905, pp. 238\u2013249. Springer, Berlin, Heidelberg, New York"},{"key":"24_CR0024114","doi-asserted-by":"crossref","unstructured":"Vanneschi L, Mauri G, Valsecchi A, Cagnoni S (2006) Heterogeneous cooperative coevolution: strategies of integration between GP and GA. In: Keijzer M, et al. (eds), GECCO 2006: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, vol 1, Seattle, Washington, DC, 8\u201312 July. ACM Press. pp. 361\u2013368","DOI":"10.1145\/1143997.1144062"},{"key":"24_CR0024115","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1145\/1276958.1277309","volume-title":"GECCO '07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation","author":"L Vanneschi","year":"2007","unstructured":"Vanneschi L, Rochat D, Tomassini M (2007) Multi-optimization improves genetic programming generalization ability. In: Thierens D, et al. (eds), GECCO '07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, vol 2, London, 7\u201311 July. ACM Press. pp. 1759\u20131759"},{"key":"24_CR0024116","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/3-540-36599-0_43","volume-title":"Genetic Programming, 6th European Conference, EuroGP2003","author":"L Vanneschi","year":"2003","unstructured":"Vanneschi L, Tomassini M, Collard P, Clergue M (2003) Fitness distance correlation in structural mutation genetic programming. In: Ryan, C., et al., (ed), Genetic Programming, 6th European Conference, EuroGP2003, Lecture Notes in Computer Science, Springer-Verlag, Heidelberg, pp 455\u2013464"},{"key":"24_CR0024117","doi-asserted-by":"crossref","unstructured":"Vanneschi L, Tomassini M, Collard P, V\u00e9rel S (2006) Negative slope coefficient. A measure to characterize genetic programming. In: Collet P, et al. (eds), Proceedings of the 9th European Conference on Genetic Programming, vol 3905 of Lecture Notes in Computer Science, Budapest, Hungary, 10\u201312 Apr. Springer. pp. 178\u2013189","DOI":"10.1007\/11729976_16"},{"issue":"4","key":"24_CR0024118","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/TEVC.2006.882430","volume":"11","author":"N Wagner","year":"2007","unstructured":"Wagner N, Michalewicz Z, Khouja M, McGregor RR (Aug. 2007) Time series forecasting for dynamic environments: The DyFor genetic program model. IEEE Trans Evol Comput 11(4):433\u2013452","journal-title":"IEEE Trans Evol Comput"},{"issue":"4","key":"24_CR0024119","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/s10710-006-9015-5","volume":"7","author":"Y Wang","year":"2006","unstructured":"Wang Y, Wineberg M (2006) Estimation of evolvability genetic algorithm and dynamic environments. Genet Programming Evol Mach 7(4):355\u2013382","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR0024120","doi-asserted-by":"crossref","unstructured":"Wedge DC, Kell DB (2008) Rapid prediction of optimum population size in genetic programming using a novel genotype\u2013fitness correlation. In: Keijzer M, et al. (eds), GECCO \u201908: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, Atlanta, GA, ACM pp. 1315\u20131322","DOI":"10.1145\/1389095.1389346"},{"key":"24_CR0024121","doi-asserted-by":"crossref","unstructured":"Whitley D, Watson JP (2005) Complexity theory and the no free lunch theorem. In: Burke EK, Kendall G (eds), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, Chapter 11, pp. 317\u2013339. Springer","DOI":"10.1007\/0-387-28356-0_11"},{"issue":"1","key":"24_CR0024122","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/4235.585893","volume":"1","author":"D Wolpert","year":"1997","unstructured":"Wolpert D, Macready W (1997) No free lunch theorems for optimization. IEEE Trans Evol Comput 1(1):67\u201382","journal-title":"IEEE Trans Evol Comput"},{"key":"24_CR0024123","doi-asserted-by":"crossref","unstructured":"Woodward JR, Neil JR (2003) No free lunch, program induction and combinatorial problems. In: Ryan C, et al. (eds), Genetic Programming, Proceedings of EuroGP'2003, vol 2610 of LNCS, Essex, 14\u201316 Apr. Springer-Verlag pp. 475\u2013484","DOI":"10.1007\/3-540-36599-0_45"},{"key":"24_CR0024124","unstructured":"Xie H, Zhang M, Andreae P (2006) Genetic programming for automatic stress detection in spoken English. In: Rothlauf F, et al. (eds), Applications of Evolutionary Computing, EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, vol 3907 of LNCS, pp. 460\u2013471, Budapest, 10\u201312 Apr. Springer Verlag"},{"issue":"4","key":"24_CR0024125","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/s10710-006-9016-4","volume":"7","author":"S Yang","year":"2006","unstructured":"Yang S, Ong Y-S, Jin Y (Dec. 2006) Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet Programming Evol Mach 7(4):293\u2013294, Editorial","journal-title":"Genet Programming Evol Mach"},{"key":"24_CR0024126","unstructured":"Yu T, Chen S-H (2004) Using genetic programming with lambda abstraction to find technical trading rules. In: Computing in Economics and Finance, University of Amsterdam, 8\u201310 July"},{"issue":"4","key":"24_CR0024127","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1593\/neo.07121","volume":"9","author":"J Yu","year":"2007","unstructured":"Yu J, Yu J, Almal AA, Dhanasekaran SM, Ghosh D, Worzel WP, Chinnaiyan AM (Apr. 2007) Feature selection and molecular classification of cancer using genetic programming. Neoplasia 9(4):292\u2013303","journal-title":"Neoplasia"},{"issue":"1","key":"24_CR0024128","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 (1995) Balancing accuracy and parsimony in genetic programming. Evol Comput 3(1):17\u201338","journal-title":"Evol Comput"},{"issue":"11","key":"24_CR0024129","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.1016\/j.patrec.2005.07.024","volume":"27","author":"M Zhang","year":"2006","unstructured":"Zhang M, Smart W (Aug. 2006) Using gaussian distribution to construct fitness functions in genetic programming for multiclass object classification. Pattern Recog Lett 27(11):1266\u20131274. Evolutionary Computer Vision and Image Understanding","journal-title":"Pattern Recog Lett"}],"container-title":["Handbook of Natural Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-92910-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T08:34:28Z","timestamp":1744014868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-540-92910-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783540929093","9783540929109"],"references-count":129,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-92910-9_24","relation":{},"subject":[],"published":{"date-parts":[[2012]]}}}