{"id":"https://openalex.org/W1501915338","doi":"https://doi.org/10.1109/cec.2002.1004505","title":"Applying evolutionary programming to improve branch classification in the hybrid branch prediction method using Switch-Counter","display_name":"Applying evolutionary programming to improve branch classification in the hybrid branch prediction method using Switch-Counter","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1501915338","doi":"https://doi.org/10.1109/cec.2002.1004505","mag":"1501915338"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2002.1004505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2002.1004505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","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/A5042279808","display_name":"Ruijian Zhang","orcid":"https://orcid.org/0000-0002-2682-8020"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruijian Zhang","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA","[Dept. of Comput. Sci., Houston Univ., TX, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Houston Univ., TX, USA]","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019572755","display_name":"Willis K. King","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.K. King","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA","[Dept. of Comput. Sci., Houston Univ., TX, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Houston Univ., TX, USA]","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673621","display_name":"Qingdong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingdong Wang","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA","[Dept. of Comput. Sci., Houston Univ., TX, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Houston Univ., TX, USA]","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042279808"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04932544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1739","last_page":"1744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9810000061988831,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/branch-predictor","display_name":"Branch predictor","score":0.9324612617492676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287963628768921},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6391969323158264},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.46902763843536377},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4531458020210266},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4422457218170166},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.4355427622795105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3991340100765228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39525455236434937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35703974962234497},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.23955518007278442}],"concepts":[{"id":"https://openalex.org/C168522837","wikidata":"https://www.wikidata.org/wiki/Q679552","display_name":"Branch predictor","level":2,"score":0.9324612617492676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287963628768921},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6391969323158264},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.46902763843536377},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4531458020210266},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4422457218170166},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.4355427622795105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3991340100765228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39525455236434937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35703974962234497},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.23955518007278442},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/cec.2002.1004505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2002.1004505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W124901208","https://openalex.org/W175286488","https://openalex.org/W1511864921","https://openalex.org/W1559956479","https://openalex.org/W1639032689","https://openalex.org/W1978970913","https://openalex.org/W2018960257","https://openalex.org/W2032094184","https://openalex.org/W2082718463","https://openalex.org/W2102248717","https://openalex.org/W2116954712","https://openalex.org/W2117285153","https://openalex.org/W2120165344","https://openalex.org/W2128731376","https://openalex.org/W2130363691","https://openalex.org/W2142183404","https://openalex.org/W2149172130","https://openalex.org/W2154571389","https://openalex.org/W2156915115","https://openalex.org/W2167651816","https://openalex.org/W2284330674","https://openalex.org/W2410900644","https://openalex.org/W3023540311","https://openalex.org/W4235548396","https://openalex.org/W4247705621","https://openalex.org/W4249006057","https://openalex.org/W4301173492","https://openalex.org/W6605036800","https://openalex.org/W6607151469","https://openalex.org/W6630769032","https://openalex.org/W6658560632","https://openalex.org/W6670998847"],"related_works":["https://openalex.org/W2061007994","https://openalex.org/W17155033","https://openalex.org/W2408643487","https://openalex.org/W2145546531","https://openalex.org/W4256090683","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786"],"abstract_inverted_index":{"Providing":[0],"accurate":[1],"branch":[2,22,29,33,50,64,93,133,152,158],"prediction":[3,23,34,65,70,102],"is":[4,154],"critical":[5],"to":[6,46,150],"exploit":[7],"instruction":[8],"level":[9],"parallelism":[10],"effectively.":[11],"This":[12,138],"paper":[13],"shows":[14],"that":[15,85,96,106,127],"applying":[16,75,79,148],"evolutionary":[17],"programming":[18],"in":[19,132,157],"the":[20,48,63,68,92,97,112,128,140],"hybrid":[21,69,98],"method":[24,71,99],"using":[25,72],"Switch-Counter":[26,73],"can":[27],"improve":[28,151],"classification,":[30],"thus":[31],"increase":[32,141],"accuracy.":[35],"In":[36],"our":[37],"study,":[38],"various":[39,115],"EP":[40,76,86,129,149],"strategies":[41],"and":[42,58,77],"algorithms":[43],"are":[44,118,162],"applied":[45,131],"search":[47],"optimum":[49],"classification.":[51],"Using":[52],"trace-driven":[53],"simulation":[54],"on":[55],"SPEC2000,":[56],"SPEC95,":[57],"MediaBench":[59],"benchmarks,":[60],"we":[61],"measured":[62],"accuracy":[66,103],"of":[67,91,142],"both":[74],"without":[78,107],"EP.":[80,108],"The":[81,109,122,145,160],"empirical":[82,123],"results":[83,124,161],"show":[84,126],"could":[87],"gain":[88],"impressive":[89],"improvements":[90,113],"classification":[94,134,153],"so":[95],"achieved":[100],"higher":[101],"comparing":[104],"with":[105],"contributions":[110],"for":[111],"by":[114],"genetic":[116],"operators":[117],"evaluated":[119],"as":[120],"well.":[121],"also":[125],"algorithm":[130],"converges":[135],"fairly":[136],"fast.":[137],"limits":[139],"compilation":[143],"time.":[144],"attempt":[146],"at":[147],"an":[155],"innovation":[156],"prediction.":[159],"quite":[163],"encouraging.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}