{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:49:51Z","timestamp":1761598191774,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030440930"},{"type":"electronic","value":"9783030440947"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-44094-7_11","type":"book-chapter","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T23:13:57Z","timestamp":1586387637000},"page":"167-183","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["SGP-DT: Semantic Genetic Programming Based on Dynamic Targets"],"prefix":"10.1007","author":[{"given":"Stefano","family":"Ruberto","sequence":"first","affiliation":[]},{"given":"Valerio","family":"Terragni","sequence":"additional","affiliation":[]},{"given":"Jason H.","family":"Moore","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,9]]},"reference":[{"issue":"2","key":"11_CR1","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s10710-013-9210-0","volume":"15","author":"L Vanneschi","year":"2014","unstructured":"Vanneschi, L., Castelli, M., Silva, S.: A survey of semantic methods in genetic programming. Genet. Program. Evolvable Mach. 15(2), 195\u2013214 (2014). https:\/\/doi.org\/10.1007\/s10710-013-9210-0","journal-title":"Genet. Program. Evolvable Mach."},{"issue":"3","key":"11_CR2","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s10710-014-9239-8","volume":"16","author":"TP Pawlak","year":"2015","unstructured":"Pawlak, T.P., Wieloch, B., Krawiec, K.: Review and comparative analysis of geometric semantic crossovers. Genet. Program. Evolvable Mach. 16(3), 351\u2013386 (2015). https:\/\/doi.org\/10.1007\/s10710-014-9239-8","journal-title":"Genet. Program. Evolvable Mach."},{"issue":"1","key":"11_CR3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10710-015-9254-4","volume":"17","author":"M O\u2019Neill","year":"2016","unstructured":"O\u2019Neill, M.: Semantic methods in genetic programming. Genet. Program. Evolvable Mach. 17(1), 3\u20134 (2016). https:\/\/doi.org\/10.1007\/s10710-015-9254-4","journal-title":"Genet. Program. Evolvable Mach."},{"key":"11_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1007\/978-3-540-78671-9_12","volume-title":"Genetic Programming","author":"NF McPhee","year":"2008","unstructured":"McPhee, N.F., Ohs, B., Hutchison, T.: Semantic building blocks in genetic programming. In: O\u2019Neill, M., et al. (eds.) EuroGP 2008. LNCS, vol. 4971, pp. 134\u2013145. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-78671-9_12"},{"key":"11_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-642-32937-1_3","volume-title":"Parallel Problem Solving from Nature - PPSN XII","author":"A Moraglio","year":"2012","unstructured":"Moraglio, A., Krawiec, K., Johnson, C.G.: Geometric semantic genetic programming. In: Coello, C.A.C., Cutello, V., Deb, K., Forrest, S., Nicosia, G., Pavone, M. (eds.) PPSN 2012. LNCS, vol. 7491, pp. 21\u201331. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-32937-1_3"},{"key":"11_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/3-540-36599-0_7","volume-title":"Genetic Programming","author":"M Keijzer","year":"2003","unstructured":"Keijzer, M.: Improving symbolic regression with interval arithmetic and linear scaling. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol. 2610, pp. 70\u201382. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-36599-0_7"},{"issue":"3","key":"11_CR7","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1162\/evco.1998.6.3.231","volume":"6","author":"R Poli","year":"1998","unstructured":"Poli, R., Langdon, W.B.: Schema theory for genetic programming with one-point crossover and point mutation. Evol. Comput. 6(3), 231\u2013252 (1998)","journal-title":"Evol. Comput."},{"issue":"2","key":"11_CR8","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., Tibshirani, R., et al.: Least angle regression. Ann. Stat. 32(2), 407\u2013499 (2004)","journal-title":"Ann. Stat."},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"La Cava, W., Spector, L., Danai, K.: Epsilon-Lexicase selection for regression. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2016), pp. 741\u2013748 (2016)","DOI":"10.1145\/2908812.2908898"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Nicolau, M., Agapitos, A.: On the effect of function set to the generalisation of symbolic regression models. In: Proceedings of the Companion of the Conference on Genetic and Evolutionary Computation (GECCO 2018), pp. 272\u2013273 (2018)","DOI":"10.1145\/3205651.3205773"},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/j.swevo.2018.06.001","volume":"44","author":"S Ruberto","year":"2019","unstructured":"Ruberto, S., Vanneschi, L., Castelli, M.: Genetic programming with semantic equivalence classes. Swarm Evol. Comput. 44, 453\u2013469 (2019)","journal-title":"Swarm Evol. Comput."},{"issue":"3","key":"11_CR12","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.: Scaled symbolic regression. Genet. Program. Evolvable Mach. 5(3), 259\u2013269 (2004). https:\/\/doi.org\/10.1023\/B:GENP.0000030195.77571.f9","journal-title":"Genet. Program. Evolvable Mach."},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Gerules, G., Janikow, C.: A survey of modularity in genetic programming. In: the IEEE Congress on Evolutionary Computation (CEC 2016), pp. 5034\u20135043 (2016)","DOI":"10.1109\/CEC.2016.7748328"},{"issue":"1","key":"11_CR14","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s10710-012-9172-7","volume":"14","author":"K Krawiec","year":"2013","unstructured":"Krawiec, K., Pawlak, T.: Locally geometric semantic crossover: a study on the roles of semantics and homology in recombination operators. Genet. Program. Evolvable Mach. 14(1), 31\u201363 (2013). https:\/\/doi.org\/10.1007\/s10710-012-9172-7","journal-title":"Genet. Program. Evolvable Mach."},{"key":"11_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-3-319-16501-1_5","volume-title":"Genetic Programming","author":"K Krawiec","year":"2015","unstructured":"Krawiec, K., Liskowski, P.: Automatic derivation of search objectives for test-based genetic programming. In: Machado, P., et al. (eds.) EuroGP 2015. LNCS, vol. 9025, pp. 53\u201365. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16501-1_5"},{"issue":"3","key":"11_CR16","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1162\/evco_a_00179","volume":"25","author":"P Liskowski","year":"2017","unstructured":"Liskowski, P., Krawiec, K.: Online discovery of search objectives for test-based problems. Evol. Comput. 25(3), 375\u2013406 (2017)","journal-title":"Evol. Comput."},{"key":"11_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-642-37207-0_15","volume-title":"Genetic Programming","author":"FEB Otero","year":"2013","unstructured":"Otero, F.E.B., Johnson, C.G.: Automated problem decomposition for the boolean domain with genetic programming. In: Krawiec, K., Moraglio, A., Hu, T., Etaner-Uyar, A.\u015e., Hu, B. (eds.) EuroGP 2013. LNCS, vol. 7831, pp. 169\u2013180. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37207-0_15"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Krawiec, K., O\u2019Reilly, U.M.: Behavioral programming: a broader and more detailed take on semantic GP. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2014), pp. 935\u2013942 (2014)","DOI":"10.1145\/2576768.2598288"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Arnaldo, I., Krawiec, K., O\u2019Reilly, U.M.: Multiple regression genetic programming. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2014), pp. 879\u2013886 (2014)","DOI":"10.1145\/2576768.2598291"},{"key":"11_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1007\/978-3-662-44303-3_13","volume-title":"Genetic Programming","author":"S Ruberto","year":"2014","unstructured":"Ruberto, S., Vanneschi, L., Castelli, M., Silva, S.: ESAGP \u2013 a semantic GP framework based on alignment in the error space. In: Nicolau, M., et al. (eds.) EuroGP 2014. LNCS, vol. 8599, pp. 150\u2013161. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-44303-3_13"},{"key":"11_CR21","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1016\/j.swevo.2018.09.006","volume":"44","author":"L Vanneschi","year":"2019","unstructured":"Vanneschi, L., Castelli, M., Scott, K., Trujillo, L.: Alignment-based genetic programming for real life applications. Swarm Evol. Comput. 44, 840\u2013851 (2019)","journal-title":"Swarm Evol. Comput."},{"issue":"1","key":"11_CR22","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s00521-011-0734-z","volume":"21","author":"AH Gandomi","year":"2012","unstructured":"Gandomi, A.H., Alavi, A.H.: A new multi-gene genetic programming approach to nonlinear system modeling. Neural Comput. Appl. 21(1), 171\u2013187 (2012)","journal-title":"Neural Comput. Appl."},{"key":"11_CR23","series-title":"Genetic and Evolutionary Computation","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/978-3-319-16030-6_5","volume-title":"Genetic Programming Theory and Practice XII","author":"LOVB Oliveira","year":"2015","unstructured":"Oliveira, L.O.V.B., Otero, F.E.B., Pappa, G.L., Albinati, J.: Sequential symbolic regression with genetic programming. In: Riolo, R., Worzel, W.P., Kotanchek, M. (eds.) Genetic Programming Theory and Practice XII. GEC, pp. 73\u201390. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16030-6_5"},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Medernach, D., Fitzgerald, J., Azad, R.M.A., Ryan, C.: Wave: a genetic programming approach to divide and conquer. In: Proceedings of the Companion of the Conference on Genetic and Evolutionary Computation. (GECCO 2015), pp. 1435\u20131436 (2015)","DOI":"10.1145\/2739482.2764659"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Medernach, D., Fitzgerald, J., Azad, R.M.A., Ryan, C.: A new wave: a dynamic approach to genetic programming. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2016), pp. 757\u2013764 (2016)","DOI":"10.1145\/2908812.2908857"},{"key":"11_CR26","unstructured":"Asuncion, A., Newman, D.: UCI Machine Learning Repository (2007)"},{"issue":"1","key":"11_CR27","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10710-012-9177-2","volume":"14","author":"DR White","year":"2013","unstructured":"White, D.R., Mcdermott, J., Castelli, M., et al.: Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1), 3\u201329 (2013). https:\/\/doi.org\/10.1007\/s10710-012-9177-2","journal-title":"Genet. Program. Evolvable Mach."},{"key":"11_CR28","first-page":"1","volume":"27","author":"WL Cava","year":"2018","unstructured":"Cava, W.L., Helmuth, T., Spector, L., Moore, J.H.: A probabilistic and multi-objective analysis of Lexicase selection and $$\\varepsilon $$-Lexicase selection. Evol. Comput. 27, 1\u201328 (2018)","journal-title":"Evol. Comput."},{"key":"11_CR29","doi-asserted-by":"crossref","unstructured":"Orzechowski, P., Cava, W.L., Moore, J.H.: Where are we now?: A large benchmark study of recent symbolic regression methods. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2018), pp. 1183\u20131190 (2018)","DOI":"10.1145\/3205455.3205539"},{"key":"11_CR30","doi-asserted-by":"crossref","unstructured":"Castelli, M., Trujillo, L., Vanneschi, L., Silva, S. Geometric semantic genetic programming with local search. In: Proceedings of the Conference on Genetic and Evolutionary Computation (GECCO 2015), pp. 999\u20131006 (2015)","DOI":"10.1145\/2739480.2754795"}],"container-title":["Lecture Notes in Computer Science","Genetic Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-44094-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,4]],"date-time":"2021-03-04T18:12:21Z","timestamp":1614881541000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-44094-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030440930","9783030440947"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-44094-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EuroGP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Genetic Programming (Part of EvoStar)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eurogp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.evostar.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}