{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T16:33:19Z","timestamp":1769099599298,"version":"3.49.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,10,24]],"date-time":"2015-10-24T00:00:00Z","timestamp":1445644800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Genet Program Evolvable Mach"],"published-print":{"date-parts":[[2016,3]]},"DOI":"10.1007\/s10710-015-9251-7","type":"journal-article","created":{"date-parts":[[2015,10,24]],"date-time":"2015-10-24T14:26:38Z","timestamp":1445696798000},"page":"55-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Self-tuning geometric semantic Genetic Programming"],"prefix":"10.1007","volume":"17","author":[{"given":"Mauro","family":"Castelli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Manzoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo","family":"Vanneschi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ale\u0161","family":"Popovi\u010d","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,10,24]]},"reference":[{"issue":"4","key":"9251_CR1","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s10710-007-9040-z","volume":"8","author":"F Archetti","year":"2007","unstructured":"F. Archetti, S. Lanzeni, E. Messina, L. Vanneschi, Genetic programming for computational pharmacokinetics in drug discovery and development. Genet. Progr. Evol. Mach. 8(4), 413\u2013432 (2007)","journal-title":"Genet. Progr. Evol. Mach."},{"key":"9251_CR2","unstructured":"T. B\u00e4ck, Self-adaptation in genetic algorithms, in Proceedings of the First European Conference on Artificial Life (MIT Press, 1992), pp. 263\u2013271"},{"key":"9251_CR3","unstructured":"T. B\u00e4ck, Optimal mutation rates in genetic search, in Proceedings of the 5th International Conference on Genetic Algorithms (Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993), pp. 2\u20138"},{"key":"9251_CR4","unstructured":"T. Brooks, D. Pope, A. Marcolini, Airfoil self-noise and prediction. Technical report, NASA RP-1218 (1989)"},{"key":"9251_CR5","doi-asserted-by":"crossref","unstructured":"M. Castelli, L. Manzoni, L. Vanneschi, Parameter tuning of evolutionary reactions systems, in GECCO \u201912: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (ACM, Philadelphia, Pennsylvania, USA, 2012), pp. 727\u2013734","DOI":"10.1145\/2330163.2330265"},{"issue":"17","key":"9251_CR6","doi-asserted-by":"crossref","first-page":"6856","DOI":"10.1016\/j.eswa.2013.06.037","volume":"40","author":"M Castelli","year":"2013","unstructured":"M. Castelli, L. Vanneschi, S. Silva, Prediction of high performance concrete strength using genetic programming with geometric semantic genetic operators. Expert Syst. Appl. 40(17), 6856\u20136862 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"10","key":"9251_CR7","doi-asserted-by":"crossref","first-page":"4608","DOI":"10.1016\/j.eswa.2014.01.018","volume":"41","author":"M Castelli","year":"2014","unstructured":"M. Castelli, L. Vanneschi, S. Silva, Prediction of the unified parkinson\u2019s disease rating scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Syst. Appl. 41(10), 4608\u20134616 (2014)","journal-title":"Expert Syst. Appl."},{"key":"9251_CR8","unstructured":"M. Castelli, L. Vanneschi, A. Popovi\u010d, Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. Bio-Inspir. Comput. 2, 1\u201310 (2015)"},{"key":"9251_CR9","unstructured":"L. Davis, Adapting operator probabilities in genetic algorithms, in Proceedings of the Third International Conference on Genetic Algorithms (Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1989), pp. 61\u201369"},{"issue":"2","key":"9251_CR10","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/4235.771166","volume":"3","author":"A Eiben","year":"1999","unstructured":"A. Eiben, R. Hinterding, Z. Michalewicz, Parameter control in evolutionary algorithms. Evol. Comput. IEEE Trans. 3(2), 124\u2013141 (1999)","journal-title":"Evol. Comput. IEEE Trans."},{"key":"9251_CR11","first-page":"19","volume-title":"Parameter Setting in Evolutionary Algorithms, Studies in Computational Intelligence","author":"A Eiben","year":"2007","unstructured":"A. Eiben, Z. Michalewicz, M. Schoenauer, J. Smith, Parameter control in evolutionary algorithms, in Parameter Setting in Evolutionary Algorithms, Studies in Computational Intelligence, vol. 54, ed. by F. Lobo, C. Lima, Z. Michalewicz (Springer, Berlin, 2007), pp. 19\u201346"},{"issue":"1","key":"9251_CR12","first-page":"11","volume":"162","author":"Y I-Cheng","year":"2009","unstructured":"Y. I-Cheng, Simulation of concrete slump using neural networks. Constr. Mater. 162(1), 11\u201318 (2009)","journal-title":"Constr. Mater."},{"key":"9251_CR13","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"JR Koza","year":"1992","unstructured":"J.R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection (MIT Press, Cambridge, MA, 1992)"},{"issue":"3\u20134","key":"9251_CR14","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10710-010-9112-3","volume":"11","author":"JR Koza","year":"2010","unstructured":"J.R. Koza, Human-competitive results produced by genetic programming. Genet. Progr. Evol. Mach. 11(3\u20134), 251\u2013284 (2010)","journal-title":"Genet. Progr. Evol. Mach."},{"key":"9251_CR15","doi-asserted-by":"crossref","unstructured":"K. Krawiec, P. Lichocki, Approximating geometric crossover in semantic space, in GECCO \u201909: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (ACM, Montreal, 2009), pp. 987\u2013994","DOI":"10.1145\/1569901.1570036"},{"key":"9251_CR16","doi-asserted-by":"crossref","unstructured":"A. Moraglio, A. Mambrini, Runtime analysis of mutation-based geometric semantic genetic programming for basis functions regression, in GECCO \u201913: Genetic and Evolutionary Computation Conference (Amsterdam, The Netherlands, 2013) pp. 989\u2013996, 6\u201310 July 2013","DOI":"10.1145\/2463372.2463492"},{"key":"9251_CR17","doi-asserted-by":"crossref","unstructured":"A. Moraglio, K. Krawiec , C.G. Johnson, Geometric semantic genetic programming, in Parallel Problem Solving from Nature, PPSN XII (part 1). Lecture Notes in Computer Science, vol. 7491, (Springer, 2012), pp. 21\u201331","DOI":"10.1007\/978-3-642-32937-1_3"},{"issue":"4","key":"9251_CR18","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1162\/EVCO_a_00099","volume":"21","author":"A Moraglio","year":"2013","unstructured":"A. Moraglio, J. Togelius, S. Silva, Geometric differential evolution for combinatorial and programs spaces. Evolut. Comput. 21(4), 591\u2013624 (2013)","journal-title":"Evolut. Comput."},{"key":"9251_CR19","unstructured":"I. Ortigosa , R. Lopez, J. Garcia, A neural networks approach to residuary resistance of sailing yachts prediction, in Proceedings of the International Conference on Marine Engineering MARINE, vol. 2007 (2007), p. 250"},{"issue":"2","key":"9251_CR20","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1162\/EVCO_a_00063","volume":"20","author":"Z Ren","year":"2012","unstructured":"Z. Ren, H. Jiang, J. Xuan, Z. Luo, Hyper-heuristics with low level parameter adaptation. Evol Comput 20(2), 189\u2013227 (2012)","journal-title":"Evol Comput"},{"key":"9251_CR21","doi-asserted-by":"crossref","unstructured":"J. Smith, T. Fogarty, Self adaptation of mutation rates in a steady state genetic algorithm, in Proceedings of IEEE International Conference on Evolutionary Computation, 1996, pp. 318\u2013323","DOI":"10.1109\/ICEC.1996.542382"},{"issue":"2","key":"9251_CR22","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1162\/106454698568512","volume":"4","author":"CR Stephens","year":"1998","unstructured":"C.R. Stephens, I.G. Olmedo, J.M. Vargas, H. Waelbroeck, Self-adaptation in evolving systems. Artif Life 4(2), 183\u2013201 (1998)","journal-title":"Artif Life"},{"issue":"2","key":"9251_CR23","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1162\/evco.1998.6.2.161","volume":"6","author":"A Tuson","year":"1998","unstructured":"A. Tuson, P. Ross, Adapting operator settings in genetic algorithms. Evol. Comput. 6(2), 161\u2013184 (1998)","journal-title":"Evol. Comput."},{"key":"9251_CR24","doi-asserted-by":"crossref","unstructured":"L. Vanneschi, M. Castelli, L. Manzoni, S. Silva, in A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics, eds. by K. Krawiec, A. Moraglio, T. Hu, A.S. Uyar, B. Hu Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, Springer, Vienna, Austria, LNCS, vol. 7831, (2013a), pp. 205\u2013216","DOI":"10.1007\/978-3-642-37207-0_18"},{"key":"9251_CR25","doi-asserted-by":"crossref","unstructured":"L. Vanneschi, S. Silva, M. Castelli, L. Manzoni, Geometric semantic genetic programming for real life applications, in Genetic Programming Theory and Practice, ed. by R. Riolo, J.H. Moore, M. Kotanchek (Springer, Ann Arbor, 2013b)","DOI":"10.1007\/978-1-4939-0375-7_11"},{"issue":"2","key":"9251_CR26","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s10710-013-9210-0","volume":"15","author":"L Vanneschi","year":"2014","unstructured":"L. Vanneschi, M. Castelli, S. Silva, A survey of semantic methods in genetic programming. Genet. Progr. Evol. Mach. 15(2), 195\u2013214 (2014)","journal-title":"Genet. Progr. Evol. Mach."},{"issue":"2\u20133","key":"9251_CR27","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1023\/A:1022674030396","volume":"13","author":"D Whitley","year":"1993","unstructured":"D. Whitley, S. Dominic, R. Das, C.W. Anderson, Genetic reinforcement learning for neurocontrol problems. Mach. Learn. 13(2\u20133), 259\u2013284 (1993)","journal-title":"Mach. Learn."}],"container-title":["Genetic Programming and Evolvable Machines"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10710-015-9251-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10710-015-9251-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10710-015-9251-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T22:08:48Z","timestamp":1567289328000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10710-015-9251-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,24]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,3]]}},"alternative-id":["9251"],"URL":"https:\/\/doi.org\/10.1007\/s10710-015-9251-7","relation":{},"ISSN":["1389-2576","1573-7632"],"issn-type":[{"value":"1389-2576","type":"print"},{"value":"1573-7632","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,10,24]]}}}