{"id":"https://openalex.org/W2497810168","doi":"https://doi.org/10.1145/2908961.2931741","title":"Visualizing Genetic Programming Ancestries","display_name":"Visualizing Genetic Programming Ancestries","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2497810168","doi":"https://doi.org/10.1145/2908961.2931741","mag":"2497810168"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2931741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908961.2931741","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2931741&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2931741&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007077416","display_name":"Nicholas Freitag McPhee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Freitag McPhee","raw_affiliation_strings":["University of Minnesota, Morris, Morris, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Morris, Morris, MN, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034142846","display_name":"Maggie M. Casale","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maggie M. Casale","raw_affiliation_strings":["University of Minnesota, Morris, Morris, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Morris, Morris, MN, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037732479","display_name":"Mitchell Finzel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mitchell Finzel","raw_affiliation_strings":["University of Minnesota, Morris, Morris, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Morris, Morris, MN, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083108240","display_name":"Thomas Helmuth","orcid":"https://orcid.org/0000-0002-2330-6809"},"institutions":[{"id":"https://openalex.org/I184889055","display_name":"Washington and Lee University","ror":"https://ror.org/05r9xgf14","country_code":"US","type":"education","lineage":["https://openalex.org/I184889055"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Helmuth","raw_affiliation_strings":["Washing and Lee University, Lexington, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washing and Lee University, Lexington, VA, USA","institution_ids":["https://openalex.org/I184889055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044142640","display_name":"Lee Spector","orcid":"https://orcid.org/0000-0001-5299-4797"},"institutions":[{"id":"https://openalex.org/I47631775","display_name":"Hampshire College","ror":"https://ror.org/03pe1mm80","country_code":"US","type":"education","lineage":["https://openalex.org/I47631775"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee Spector","raw_affiliation_strings":["Hampshire College, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hampshire College, Amherst, MA, USA","institution_ids":["https://openalex.org/I47631775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9415,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89246123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1419","last_page":"1426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10878","display_name":"CRISPR and Genetic Engineering","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7556785345077515},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7247428297996521},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5941743850708008},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5895619988441467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5422256588935852},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.493656724691391},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.49321693181991577},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4277886152267456},{"id":"https://openalex.org/keywords/genetic-representation","display_name":"Genetic representation","score":0.41962194442749023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3555957078933716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3285500407218933},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32743409276008606},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.27962058782577515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556785345077515},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7247428297996521},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5941743850708008},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5895619988441467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5422256588935852},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.493656724691391},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.49321693181991577},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4277886152267456},{"id":"https://openalex.org/C6135463","wikidata":"https://www.wikidata.org/wiki/Q5532920","display_name":"Genetic representation","level":3,"score":0.41962194442749023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3555957078933716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3285500407218933},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32743409276008606},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27962058782577515}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908961.2931741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908961.2931741","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2931741&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2908961.2931741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908961.2931741","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2931741&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3977699885","display_name":"BSF:2012144:Human-Competitive Evolutionary Computation","funder_award_id":"1331283","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7196498814","display_name":null,"funder_award_id":"1129139,1331283","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7422149563","display_name":null,"funder_award_id":"1129139 and 1331283","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8045835890","display_name":"UBM-Institutional-Collaborative Research:  Four College Biomath Consortium","funder_award_id":"1129139","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2497810168.pdf","grobid_xml":"https://content.openalex.org/works/W2497810168.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1978661986","https://openalex.org/W1980900887","https://openalex.org/W1997946404","https://openalex.org/W2009915439","https://openalex.org/W2058399238","https://openalex.org/W2072473332","https://openalex.org/W2100495367","https://openalex.org/W2136414484","https://openalex.org/W2167117443","https://openalex.org/W2481686130","https://openalex.org/W2565142667"],"related_works":["https://openalex.org/W3128775364","https://openalex.org/W2100604298","https://openalex.org/W1566441578","https://openalex.org/W3102723906","https://openalex.org/W57385547","https://openalex.org/W1852966908","https://openalex.org/W1487901312","https://openalex.org/W2559572301","https://openalex.org/W1589480767","https://openalex.org/W2091246427"],"abstract_inverted_index":{"Previous":[0],"work":[1,23],"has":[2],"demonstrated":[3],"the":[4,34,40,66,89,98,142,156,180],"utility":[5],"of":[6,27,36,42,53,68,74,117,158],"graph":[7],"databases":[8],"as":[9,107,121,134],"a":[10,72,115],"tool":[11],"for":[12,100,170],"collecting,":[13],"analyzing,":[14],"and":[15,51,102,126,141,146],"visualizing":[16],"ancestry":[17,111],"in":[18,88],"evolutionary":[19,90],"computation":[20],"runs.":[21,55,104],"That":[22],"focused":[24],"on":[25,39,79],"sections":[26],"individual":[28],"runs,":[29],"whereas":[30],"this":[31,150],"paper":[32],"illustrates":[33],"application":[35],"these":[37,59,109,172],"ideas":[38],"entirety":[41],"large":[43],"runs":[44,78],"(up":[45],"to":[46,61,96,128,177],"three":[47],"hundred":[48],"thousand":[49],"individuals)":[50],"combinations":[52],"multiple":[54],"Here":[56],"we":[57,113,166],"use":[58,114],"tools":[60],"generate":[62],"graphs":[63,84,173],"showing":[64],"all":[65],"ancestors":[67],"successful":[69,101],"individuals":[70],"from":[71],"variety":[73,116],"stack-based":[75],"genetic":[76,137],"programming":[77],"software":[80],"synthesis":[81],"problems.":[82],"These":[83],"highlight":[85],"important":[86,131],"moments":[87],"process.":[91],"They":[92],"also":[93,161,167],"allow":[94,175],"us":[95,176],"compare":[97],"dynamics":[99],"unsuccessful":[103],"As":[105],"well":[106],"displaying":[108],"full":[110],"graphs,":[112],"standard":[118],"techniques":[119,169],"such":[120,133],"size,":[122],"color,":[123],"pattern,":[124],"labeling,":[125],"opacity":[127],"visualize":[129],"other":[130],"information":[132],"fitness,":[135],"which":[136],"operators":[138],"were":[139],"used,":[140],"distance":[143],"between":[144],"parent":[145],"child":[147],"genomes.":[148],"While":[149],"generates":[151],"an":[152],"extremely":[153],"rich":[154],"visualization,":[155],"amount":[157],"data":[159],"can":[160],"be":[162],"somewhat":[163],"overwhelming,":[164],"so":[165],"explore":[168],"filtering":[171],"that":[174],"better":[178],"understand":[179],"key":[181],"dynamics.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
