{"id":"https://openalex.org/W2775025403","doi":"https://doi.org/10.1109/smc.2017.8122670","title":"The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming","display_name":"The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775025403","doi":"https://doi.org/10.1109/smc.2017.8122670","mag":"2775025403"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015424874","display_name":"Akira Hara","orcid":"https://orcid.org/0000-0002-5554-8060"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hara","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057030831","display_name":"Jun-ichi Kushida","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun-ichi Kushida","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081517379","display_name":"Takamichi Yamagata","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takamichi Yamagata","raw_affiliation_strings":["Faculty of Information Sciences, Hiroshima City University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Sciences, Hiroshima City University","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039767363","display_name":"Tetsuyuki Takahama","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuyuki Takahama","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.2768,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57636389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"588","last_page":"593"},"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":0.9973000288009644,"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/crossover","display_name":"Crossover","score":0.6880391240119934},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.670711874961853},{"id":"https://openalex.org/keywords/alternation","display_name":"Alternation (linguistics)","score":0.6251795887947083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5454791188240051},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5320578217506409},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.515489399433136},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4993612766265869},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.47133708000183105},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.45723825693130493},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44960927963256836},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4479052722454071},{"id":"https://openalex.org/keywords/offspring","display_name":"Offspring","score":0.4335230588912964},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3628805875778198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.362308144569397},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3567703068256378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3328699469566345},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08295542001724243}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6880391240119934},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.670711874961853},{"id":"https://openalex.org/C26826806","wikidata":"https://www.wikidata.org/wiki/Q438358","display_name":"Alternation (linguistics)","level":2,"score":0.6251795887947083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5454791188240051},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5320578217506409},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.515489399433136},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4993612766265869},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.47133708000183105},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.45723825693130493},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44960927963256836},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4479052722454071},{"id":"https://openalex.org/C112672928","wikidata":"https://www.wikidata.org/wiki/Q239526","display_name":"Offspring","level":3,"score":0.4335230588912964},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3628805875778198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.362308144569397},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3567703068256378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3328699469566345},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08295542001724243},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":15,"referenced_works":["https://openalex.org/W102043130","https://openalex.org/W1576818901","https://openalex.org/W1581584868","https://openalex.org/W1595159159","https://openalex.org/W1795093649","https://openalex.org/W1998837010","https://openalex.org/W2007651134","https://openalex.org/W2061011797","https://openalex.org/W2144172186","https://openalex.org/W2243773866","https://openalex.org/W2353066139","https://openalex.org/W2512532402","https://openalex.org/W2586571377","https://openalex.org/W2808238182","https://openalex.org/W6752724730"],"related_works":["https://openalex.org/W2082776239","https://openalex.org/W2142324575","https://openalex.org/W2123029667","https://openalex.org/W2051028534","https://openalex.org/W2046401452","https://openalex.org/W2164305954","https://openalex.org/W1501730763","https://openalex.org/W1772786136","https://openalex.org/W1963986408","https://openalex.org/W1593354505"],"abstract_inverted_index":{"In":[0,49,100,114],"recent":[1],"years,":[2],"semantics-based":[3],"crossover":[4],"operators":[5],"have":[6,41,77,121],"attracted":[7],"attention":[8],"for":[9,36,65,110],"efficient":[10],"search":[11,90,139],"in":[12,26,138],"Genetic":[13,18],"Programming":[14,19],"(GP).":[15],"Geometric":[16],"Semantic":[17],"(GSGP)":[20],"is":[21,34,55,69],"one":[22],"of":[23,31],"the":[24,52,62,66,115,119,134],"methods,":[25],"which":[27],"a":[28,87,105],"convex":[29,53],"combination":[30,54,68],"two":[32],"parents":[33],"used":[35],"creating":[37],"an":[38,44,58,73],"offspring.":[39],"We":[40,128],"previously":[42],"proposed":[43,116,131],"improved":[45],"GSGP,":[46,51],"Deterministic":[47,50,84,136],"GSGP.":[48],"relaxed":[56],"to":[57,97,123],"affine":[59,67],"combination,":[60],"and":[61,141],"optimum":[63],"ratio":[64],"determined":[70],"so":[71],"that":[72,89],"offspring":[74,125],"can":[75],"always":[76],"better":[78],"fitness":[79],"than":[80],"its":[81,143],"parents.":[82,127],"However,":[83],"GSGP":[85,137],"has":[86],"problem":[88],"might":[91],"fall":[92],"into":[93],"local":[94],"optima":[95],"due":[96],"premature":[98],"convergence.":[99],"this":[101],"paper,":[102],"we":[103],"propose":[104],"new":[106],"generation":[107],"alternation":[108],"model":[109,132],"maintaining":[111],"population":[112],"diversity.":[113],"model,":[117],"all":[118],"individuals":[120],"opportunities":[122],"generate":[124],"as":[126],"compared":[129],"our":[130],"with":[133],"conventional":[135],"performance,":[140],"showed":[142],"effectiveness.":[144]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
