{"id":"https://openalex.org/W2905231954","doi":"https://doi.org/10.1145/3287921.3287948","title":"Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming","display_name":"Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2905231954","doi":"https://doi.org/10.1145/3287921.3287948","mag":"2905231954"},"language":"en","primary_location":{"id":"doi:10.1145/3287921.3287948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059935439","display_name":"Thi Huong Chu","orcid":"https://orcid.org/0000-0001-5057-8319"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Thi Huong Chu","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400536","display_name":"Quang Uy Nguyen","orcid":"https://orcid.org/0000-0001-7099-5187"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Quang Uy Nguyen","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082857079","display_name":"Van Loi Cao","orcid":"https://orcid.org/0000-0002-3637-9230"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van Loi Cao","raw_affiliation_strings":["Le Quy Don Technical University, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059935439"],"corresponding_institution_ids":["https://openalex.org/I131359167"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74083012,"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":"77","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":1.0,"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":0.9976999759674072,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9704999923706055,"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/genetic-programming","display_name":"Genetic programming","score":0.9130459427833557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7571594715118408},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6619485020637512},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6151923537254333},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5220130085945129},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5142585635185242},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.509482204914093},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5049226880073547},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4852771461009979},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4323028326034546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4012303948402405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3618248701095581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2516371011734009},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1423037052154541},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06934025883674622}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.9130459427833557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571594715118408},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6619485020637512},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6151923537254333},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5220130085945129},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5142585635185242},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.509482204914093},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5049226880073547},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4852771461009979},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4323028326034546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4012303948402405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3618248701095581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2516371011734009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1423037052154541},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06934025883674622},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3287921.3287948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W186848018","https://openalex.org/W1483736078","https://openalex.org/W1488666798","https://openalex.org/W1506912022","https://openalex.org/W1533243157","https://openalex.org/W1560512296","https://openalex.org/W1576818901","https://openalex.org/W1771947156","https://openalex.org/W1795093649","https://openalex.org/W1918218356","https://openalex.org/W1931723743","https://openalex.org/W1951785234","https://openalex.org/W2011209865","https://openalex.org/W2019625726","https://openalex.org/W2025512130","https://openalex.org/W2035894445","https://openalex.org/W2040492000","https://openalex.org/W2051028534","https://openalex.org/W2057394292","https://openalex.org/W2115652054","https://openalex.org/W2127146804","https://openalex.org/W2132196970","https://openalex.org/W2216139323","https://openalex.org/W2226730677","https://openalex.org/W2509671074","https://openalex.org/W2779953062","https://openalex.org/W2790226511","https://openalex.org/W3126152093"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2082716031","https://openalex.org/W2370289839","https://openalex.org/W2933494595","https://openalex.org/W1568049691","https://openalex.org/W2581850242","https://openalex.org/W2160325950","https://openalex.org/W2321004070"],"abstract_inverted_index":{"Genetic":[0],"Programming":[1],"(GP)":[2],"is":[3,28],"a":[4,12,29,46,65,74,92,109],"technique":[5],"that":[6],"allows":[7],"computer":[8],"programs":[9],"encoded":[10],"as":[11],"set":[13],"of":[14,36,88,121],"tree":[15],"structures":[16],"to":[17,57,143],"be":[18],"evolved":[19],"using":[20,148],"an":[21,77,86,95],"evolutionary":[22],"algorithm.":[23],"In":[24,55,81],"GP,":[25],"code":[26,66,128],"bloat":[27,67,129],"common":[30],"phenomenon":[31,44,130],"characterized":[32],"by":[33],"the":[34,41,119,122,127,139],"size":[35],"individuals":[37],"gradually":[38],"increasing":[39],"during":[40],"evolution.":[42],"This":[43],"has":[45],"negative":[47],"impact":[48],"on":[49,71,108],"GP":[50,105,133,146],"performance":[51,141,151],"in":[52,125,153],"solving":[53],"problems.":[54],"order":[56],"address":[58],"this":[59,82,101],"problem,":[60],"we":[61,84],"have":[62],"recently":[63],"introduced":[64],"control":[68],"method":[69,102,124],"based":[70],"semantics:":[72],"Substituting":[73,91],"subtree":[75,93],"with":[76,94,103],"Approximate":[78,96],"Terminal":[79],"(SAT-GP).":[80],"paper,":[83],"propose":[85],"extension":[87],"SAT-GP,":[89],"namely":[90],"Subprogram":[97],"(SAS-GP).":[98],"We":[99],"tested":[100,145],"different":[104],"parameter":[106],"settings":[107],"real-world":[110],"time":[111],"series":[112],"forecasting":[113],"problem.":[114],"The":[115],"experimental":[116],"results":[117],"demonstrate":[118],"benefit":[120],"proposed":[123],"reducing":[126],"and":[131],"improving":[132],"performance.":[134],"Particularly,":[135],"SAS-GP":[136],"often":[137],"achieves":[138],"best":[140],"compared":[142],"other":[144],"systems":[147],"four":[149],"popular":[150],"metrics":[152],"GP.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
