{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:25Z","timestamp":1750220545718,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,26]],"date-time":"2021-06-26T00:00:00Z","timestamp":1624665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","award":["2018\/14173-8"],"award-info":[{"award-number":["2018\/14173-8"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,26]]},"DOI":"10.1145\/3449639.3459345","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T17:51:58Z","timestamp":1624297918000},"page":"592-599","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Simulated annealing for symbolic regression"],"prefix":"10.1145","author":[{"given":"Daniel","family":"Kantor","sequence":"first","affiliation":[{"name":"DCA\/FEEC\/Unicamp, Campinas, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando J.","family":"Von Zuben","sequence":"additional","affiliation":[{"name":"DCA\/FEEC\/Unicamp, Campinas, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabricio Olivetti","family":"de Franca","sequence":"additional","affiliation":[{"name":"CMCC\/UFABC, Santo Andre, SP, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16501-1_1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185521"},{"key":"e_1_3_2_1_3_1","volume-title":"A greedy search tree heuristic for symbolic regression. Information Sciences 442-443","author":"de Fran\u00e7a Fabr\u00edcio Olivetti","year":"2018","unstructured":"Fabr\u00edcio Olivetti de Fran\u00e7a . 2018. A greedy search tree heuristic for symbolic regression. Information Sciences 442-443 ( 2018 ), 18--32. Fabr\u00edcio Olivetti de Fran\u00e7a. 2018. A greedy search tree heuristic for symbolic regression. Information Sciences 442-443 (2018), 18--32."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00285"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.10.062"},{"key":"e_1_3_2_1_6_1","unstructured":"Ren\u00e1ta Dub\u010d\u00e1kov\u00e1. 2011. Eureqa: software review. (2011).  Ren\u00e1ta Dub\u010d\u00e1kov\u00e1. 2011. Eureqa: software review. (2011)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1993.10476358"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-46239-2_22"},{"key":"e_1_3_2_1_9_1","unstructured":"Valeria Fonti and E. Belitser. 2017. Paper in Business Analytics Feature Selection using LASSO.  Valeria Fonti and E. Belitser. 2017. Paper in Business Analytics Feature Selection using LASSO."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1937.10503522"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477951"},{"key":"e_1_3_2_1_12_1","unstructured":"D. Izzo and F. Biscani. 2019. darioizzo\/dcgp: Enable parallelization with pagmo.  D. Izzo and F. Biscani. 2019. darioizzo\/dcgp: Enable parallelization with pagmo."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38652-7_2"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321776"},{"key":"e_1_3_2_1_15_1","volume-title":"Matthew Wiener, et al","author":"Liaw Andy","year":"2002","unstructured":"Andy Liaw , Matthew Wiener, et al . 2002 . Classification and regression by randomForest. R news 2, 3 (2002), 18--22. Andy Liaw, Matthew Wiener, et al. 2002. Classification and regression by randomForest. R news 2, 3 (2002), 18--22."},{"key":"e_1_3_2_1_16_1","volume-title":"et al Lichman","author":"M.","year":"2013","unstructured":"M. et al Lichman . 2013 . UCI machine learning repository. (2013). M. et al Lichman. 2013. UCI machine learning repository. (2013)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205593"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-04131-4"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13040-017-0154-4"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"J Ranstam and J Cook. 2018. LASSO regression. (2018).  J Ranstam and J Cook. 2018. LASSO regression. (2018).","DOI":"10.1002\/bjs.10895"},{"key":"e_1_3_2_1_21_1","volume-title":"Artificial Intelligence: A Modern Approach","author":"Russell Stuart","year":"2009","unstructured":"Stuart Russell and Peter Norvig . 2009 . Artificial Intelligence: A Modern Approach ( 3 rd ed.). Prentice Hall Press , USA. Stuart Russell and Peter Norvig. 2009. Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall Press, USA.","edition":"3"},{"key":"e_1_3_2_1_22_1","volume-title":"AI Esparcia Alcazar, and Yun Li","author":"Sharman Ken C","year":"1995","unstructured":"Ken C Sharman , AI Esparcia Alcazar, and Yun Li . 1995 . Evolving signal processing algorithms by genetic programming. (1995). Ken C Sharman, AI Esparcia Alcazar, and Yun Li. 1995. Evolving signal processing algorithms by genetic programming. (1995)."},{"key":"e_1_3_2_1_23_1","volume-title":"Incremental induction of decision trees. Machine learning 4, 2","author":"Utgoff Paul E","year":"1989","unstructured":"Paul E Utgoff . 1989. Incremental induction of decision trees. Machine learning 4, 2 ( 1989 ), 161--186. Paul E Utgoff. 1989. Incremental induction of decision trees. Machine learning 4, 2 (1989), 161--186."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-7744-1"}],"event":{"name":"GECCO '21: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Lille France","acronym":"GECCO '21"},"container-title":["Proceedings of the Genetic and Evolutionary Computation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459345","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3449639.3459345","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:09Z","timestamp":1750195689000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3449639.3459345"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,26]]},"references-count":24,"alternative-id":["10.1145\/3449639.3459345","10.1145\/3449639"],"URL":"https:\/\/doi.org\/10.1145\/3449639.3459345","relation":{},"subject":[],"published":{"date-parts":[[2021,6,26]]},"assertion":[{"value":"2021-06-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}