{"id":"https://openalex.org/W2886010853","doi":"https://doi.org/10.1145/3205455.3205603","title":"Program synthesis using uniform mutation by addition and deletion","display_name":"Program synthesis using uniform mutation by addition and deletion","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2886010853","doi":"https://doi.org/10.1145/3205455.3205603","mag":"2886010853"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205603","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205603","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083108240","display_name":"Thomas Helmuth","orcid":"https://orcid.org/0000-0002-2330-6809"},"institutions":[{"id":"https://openalex.org/I188592606","display_name":"Hamilton College","ror":"https://ror.org/05709zb94","country_code":"US","type":"education","lineage":["https://openalex.org/I188592606"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Helmuth","raw_affiliation_strings":["Hamilton College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hamilton College","institution_ids":["https://openalex.org/I188592606"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Morris","institution_ids":["https://openalex.org/I4210162301"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hampshire College","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":3.1692,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.94202353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1127","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10533","display_name":"Teaching and Learning Programming","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7864701151847839},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.7342953681945801},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6949273347854614},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6185570359230042},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5928788185119629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5482720136642456},{"id":"https://openalex.org/keywords/mutation-rate","display_name":"Mutation rate","score":0.5350184440612793},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5300222039222717},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.4896417260169983},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.48364150524139404},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4208294749259949},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.40194156765937805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20959287881851196}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7864701151847839},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.7342953681945801},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6949273347854614},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6185570359230042},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5928788185119629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5482720136642456},{"id":"https://openalex.org/C98638677","wikidata":"https://www.wikidata.org/wiki/Q2067051","display_name":"Mutation rate","level":3,"score":0.5350184440612793},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5300222039222717},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.4896417260169983},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.48364150524139404},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4208294749259949},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.40194156765937805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20959287881851196},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205455.3205603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205603","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3205455.3205603","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205603","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205603","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3576524178","display_name":"RI: Small: RUI: Synthesis of Robust Artificial Systems by Adaptive Genetic Programming","funder_award_id":"1617087","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"},{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886010853.pdf","grobid_xml":"https://content.openalex.org/works/W2886010853.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W93211624","https://openalex.org/W1483736078","https://openalex.org/W1576285130","https://openalex.org/W1576660662","https://openalex.org/W1604355586","https://openalex.org/W1978661986","https://openalex.org/W1980900887","https://openalex.org/W1984074188","https://openalex.org/W2072473332","https://openalex.org/W2106683494","https://openalex.org/W2136414484","https://openalex.org/W2145124323","https://openalex.org/W2494723633","https://openalex.org/W2561490710","https://openalex.org/W2731782677","https://openalex.org/W2735400258","https://openalex.org/W2898348225"],"related_works":["https://openalex.org/W2611486603","https://openalex.org/W149816179","https://openalex.org/W1493547301","https://openalex.org/W2293757252","https://openalex.org/W2394470897","https://openalex.org/W1562693820","https://openalex.org/W2886010853","https://openalex.org/W2096526391","https://openalex.org/W1439704541","https://openalex.org/W2161627958"],"abstract_inverted_index":{"Most":[0],"genetic":[1],"programming":[2],"systems":[3,37],"use":[4],"mutation":[5,19,43,71,178,184],"and":[6,78,94,119,136,180],"crossover":[7],"operators":[8],"to":[9,160,186,192],"create":[10],"child":[11],"programs":[12],"from":[13,99],"selected":[14],"parent":[15,29],"programs.":[16],"Typically":[17],"the":[18,28,100,110,117],"operator":[20,44,72,179],"will":[21],"replace":[22,113],"a":[23,31,41,58,68,146,161],"randomly":[24,33,60],"chosen":[25,61],"subprogram":[26],"in":[27,123,139,142],"with":[30,38,57,85,130],"new,":[32,59],"generated":[34],"subprogram.":[35],"In":[36,63,103,153],"linear":[39],"genomes,":[40],"uniform":[42,70],"can":[45,121],"be":[46],"used":[47],"that":[48,109,128,166],"has":[49],"some":[50,86],"probability":[51,87],"of":[52,134,148,163,172],"replacing":[53],"any":[54],"particular":[55],"gene":[56],"gene.":[62],"this":[64,158,176],"paper,":[65],"we":[66,156],"present":[67],"new":[69,111,177],"called":[73],"Uniform":[74],"Mutation":[75],"by":[76],"Addition":[77],"Deletion":[79],"(UMAD),":[80],"which":[81],"first":[82],"adds":[83],"genes":[84,98,112],"before":[88],"or":[89,169],"after":[90],"every":[91],"existing":[92],"gene,":[93],"then":[95],"deletes":[96],"random":[97],"resulting":[101],"genome.":[102],"UMAD":[104],"it":[105,167],"is":[106],"not":[107],"necessary":[108],"old":[114],"genes,":[115],"as":[116],"additions":[118],"deletions":[120],"occur":[122],"different":[124],"locations.":[125],"We":[126,174],"find":[127],"UMAD,":[129],"relatively":[131],"high":[132],"rates":[133],"addition":[135],"deletion,":[137],"results":[138],"significant":[140],"increases":[141],"problem-solving":[143],"performance":[144],"on":[145],"range":[147],"program":[149],"synthesis":[150],"benchmark":[151],"problems.":[152],"our":[154],"experiments,":[155],"compare":[157],"method":[159],"variety":[162],"alternatives,":[164],"showing":[165],"equals":[168],"outperforms":[170],"all":[171],"them.":[173],"explore":[175],"other":[181],"well-performing":[182],"high-rate":[183],"schemes":[185],"determine":[187],"what":[188],"traits":[189],"are":[190],"crucial":[191],"improved":[193],"performance.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
