{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:50:27Z","timestamp":1740099027347,"version":"3.37.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319710075"},{"type":"electronic","value":"9783319710082"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-71008-2_14","type":"book-chapter","created":{"date-parts":[[2018,1,10]],"date-time":"2018-01-10T03:03:15Z","timestamp":1515553395000},"page":"169-177","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine"],"prefix":"10.1007","author":[{"given":"M. A.","family":"Sotelo-Figueroa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arturo","family":"Hern\u00e1ndez-Aguirre","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9s","family":"Espinal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. A.","family":"Soria-Alcaraz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janet","family":"Ortiz-L\u00f3pez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,11]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"D.A. Augusto, H.J.C. Barbosa, Symbolic regression via genetic programming, in Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN \u201900) (IEEE Computer Society, Washington, DC, USA, 2000), p. 173. http:\/\/dl.acm.org\/citation.cfm?id=827249.827526","DOI":"10.1109\/SBRN.2000.889734"},{"key":"14_CR2","unstructured":"S. Baluja, Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Tech. rep., Pittsburgh, PA, USA (1994)"},{"key":"14_CR3","unstructured":"P. Barmpalexis, K. Kachrimanis, A. Tsakonas, E. Georgarakis, Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation. Chemom. Intell. Lab. Syst. 107(1), 75\u201382 (2011). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0169743911000153"},{"key":"14_CR4","unstructured":"J.S. De Bonet, C.L. Isbell, P. Viola, Mimic: finding optima by estimating probability densities, in Advances in Neural Information Processing Systems, vol.\u00a09 (1997)"},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"I. Dempsey, M. O\u2019Neill, A. Brabazon, Foundations in grammatical, in Foundations in Grammatical Evolution for Dynamic Environments, vol. 194 (Springer, New York, 2009)","DOI":"10.1007\/978-3-642-00314-1"},{"issue":"1","key":"14_CR6","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.swevo.2011.02.001","volume":"1","author":"A Eiben","year":"2011","unstructured":"A. Eiben, S. Smit, Parameter tuning for configuring and analyzing evolutionary algorithms. Swarm Evol. Comput. 1(1), 19\u201331 (2011)","journal-title":"Swarm Evol. Comput."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"A. Espinal, M. Carpio, M. Ornelas, H. Puga, P. Mel\u00edn, M. Sotelo-Figueroa, Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks, vol. 101 (Springer International Publishing, 2015), p. 89. http:\/\/dx.doi.org\/10.1007\/978-3-319-17747-2\\s\\do5(7)","DOI":"10.1007\/978-3-319-17747-2"},{"key":"14_CR8","unstructured":"M. Hauschild, M. Pelikan, An introduction and survey of estimation of distribution algorithms. Swarm Evol. Comput. 1(3), 111\u2013128 (2011). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2210650211000435"},{"key":"14_CR9","unstructured":"D. Karaboga, C. Ozturk, N. Karaboga, B. Gorkemli, Artificial bee colony programming for symbolic regression. Inf. Sci. 209, 1\u201315 (2012). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025512003295"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"T.M. Khoshgoftaar, N. Seliya, Y. Liu, Genetic programming-based decision trees for software quality classification, in Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, pp. 374\u2013383 (Nov 2003)","DOI":"10.1109\/TAI.2003.1250214"},{"key":"14_CR11","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/0-387-28356-0_5","volume-title":"Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques","author":"JR Koza","year":"2005","unstructured":"J.R. Koza, R. Poli, Genetic programming, in Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, ed. by E.K. Burke, G. Kendall (Kluwer, Boston, 2005), pp. 127\u2013164"},{"key":"14_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-1539-5","volume-title":"Estimation of Distribution Algorithms","author":"P Larra\u00f1aga","year":"2002","unstructured":"P. Larra\u00f1aga, J.A. Lozano, Estimation of Distribution Algorithms, vol. 2 (Springer, US, 2002)"},{"key":"14_CR13","series-title":"Lecture notes in computer science","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/978-3-642-12148-7_15","volume-title":"Genetic Programming","author":"A Moraglio","year":"2010","unstructured":"A. Moraglio, S. Silva, Geometric differential evolution on the space of genetic programs, in Genetic Programming, vol. 6021, Lecture notes in computer science, ed. by A. Esparcia-Alc\u00e1zar, A. Ek\u00e1rt, S. Silva, S. Dignum, A. Uyar (Springer, Berlin, 2010), pp. 171\u2013183"},{"issue":"3","key":"14_CR14","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1162\/evco.1997.5.3.303","volume":"5","author":"H M\u00fchlenbein","year":"1997","unstructured":"H. M\u00fchlenbein, The equation for response to selection and its use for prediction. Evol. Comput. 5(3), 303\u2013346 (1997). https:\/\/doi.org\/10.1162\/evco.1997.5.3.303","journal-title":"Evol. Comput."},{"key":"14_CR15","unstructured":"M., O\u2019Neill., A, Brabazon, Grammatical differential evolution, in International Conference on Artificial Intelligence (ICAI \u201906) (CSEA Press, Las Vegas, Nevada, 2006)"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"M. Pelikan, H. Muehlenbein, The Bivariate Marginal Distribution Algorithm (Springer, London, 1999), pp. 521\u2013535. http:\/\/dx.doi.org\/10.1007\/978-1-4471-0819-1\\s\\do5(3)9","DOI":"10.1007\/978-1-4471-0819-1"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"R. Riolo, T. Soule, B. Worzel (eds.), Genetic Programming Theory and Practice IV, No.\u00a01 (Springer, US, 2007)","DOI":"10.1007\/978-0-387-49650-4"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"C. Ryan, J.J. Collins, M. O\u2019Neill: Grammatical evolution: evolving programs for an arbitrary language, in Proceedings of the First European Workshop on Genetic Programming. Lecture notes in computer science, vol. 1391 (Springer, Berlin, 1998), pp. 83\u201395","DOI":"10.1007\/BFb0055930"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"M. Sotelo-Figueroa, H. Puga\u00a0Soberanes, J. Martin\u00a0Carpio, H. Fraire\u00a0Huacuja, L. Cruz\u00a0Reyes, J. Soria-Alcaraz, Evolving and reusing bin packing heuristic through grammatical differential evolution, in 2013 World Congress on Nature and Biologically Inspired Computing (NaBIC), pp. 92\u201398 (2013)","DOI":"10.1109\/NaBIC.2013.6617844"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Sotelo-Figueroa, M.A., Puga\u00a0Soberanes, H.J., Carpio, J.M., Fraire\u00a0Huacuja, H.J., Cruz\u00a0Reyes, L., Soria-Alcaraz, J.A.: Improving the bin packing heuristic through grammatical evolution based on swarm intelligence. Mathematical Problems in Engineering 2014 (2014)","DOI":"10.1155\/2014\/545191"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"J. Togelius, R.D. Nardi, A. Moraglio, Geometric pso\u00a0+\u00a0gp\u00a0=\u00a0particle swarm programming, in IEEE Congress on Evolutionary Computation, pp. 3594\u20133600 (2008)","DOI":"10.1109\/CEC.2008.4631284"},{"issue":"1","key":"14_CR22","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s10710-009-9087-0","volume":"11","author":"P Widera","year":"2010","unstructured":"P. Widera, J.M. Garibaldi, N. Krasnogor, Gp challenge: evolving energy function for protein structure prediction. Genet. Program Evolvable Mach. 11(1), 61\u201388 (2010). https:\/\/doi.org\/10.1007\/s10710-009-9087-0","journal-title":"Genet. Program Evolvable Mach."}],"container-title":["Studies in Computational Intelligence","Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71008-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T01:47:55Z","timestamp":1570585675000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-71008-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319710075","9783319710082"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71008-2_14","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2018]]}}}