{"id":"https://openalex.org/W4403675367","doi":"https://doi.org/10.1109/case59546.2024.10711474","title":"An efficient parallel single surrogate objective optimization method for multi-objective black-box problem and its application in processor design","display_name":"An efficient parallel single surrogate objective optimization method for multi-objective black-box problem and its application in processor design","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403675367","doi":"https://doi.org/10.1109/case59546.2024.10711474"},"language":"en","primary_location":{"id":"doi:10.1109/case59546.2024.10711474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case59546.2024.10711474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","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/A5080541353","display_name":"Xiaoliang Lv","orcid":"https://orcid.org/0009-0008-6565-6701"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoliang Lv","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032033256","display_name":"Qiaozhu Zhai","orcid":"https://orcid.org/0000-0002-7312-4923"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaozhu Zhai","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Zhu","raw_affiliation_strings":["Tsinghua University,Center for Intelligent and Networked Systems, and TNLIST,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Center for Intelligent and Networked Systems, and TNLIST,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032341258","display_name":"Jianchen Hu","orcid":"https://orcid.org/0000-0002-4143-9955"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchen Hu","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056603636","display_name":"Yuzhou Zhou","orcid":"https://orcid.org/0000-0001-8539-1271"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhou Zhou","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong University,Systems Engineering Institute, MOE KLINNS Lab,Xi&#x2019;an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080541353"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.3464,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64716195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2097","last_page":"2102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9210000038146973,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.7090334892272949},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5883141160011292},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5306916236877441},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.502126932144165},{"id":"https://openalex.org/keywords/design-methods","display_name":"Design methods","score":0.4251711964607239},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3375868797302246},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32035934925079346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13063764572143555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12294122576713562},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12151378393173218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090334892272949},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5883141160011292},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5306916236877441},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.502126932144165},{"id":"https://openalex.org/C138852830","wikidata":"https://www.wikidata.org/wiki/Q2292993","display_name":"Design methods","level":2,"score":0.4251711964607239},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3375868797302246},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32035934925079346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13063764572143555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12294122576713562},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12151378393173218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case59546.2024.10711474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case59546.2024.10711474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2044206819","https://openalex.org/W2097117297","https://openalex.org/W2104225326","https://openalex.org/W2164264749","https://openalex.org/W2167159964","https://openalex.org/W2769791151","https://openalex.org/W2989851762","https://openalex.org/W3115742705","https://openalex.org/W3121642476","https://openalex.org/W3136984388","https://openalex.org/W4206920443","https://openalex.org/W4285043533","https://openalex.org/W4385617665","https://openalex.org/W4385793306","https://openalex.org/W4390278191","https://openalex.org/W4391249051","https://openalex.org/W4391877283","https://openalex.org/W4394834675","https://openalex.org/W4396684756","https://openalex.org/W6845327098","https://openalex.org/W6875233639"],"related_works":["https://openalex.org/W2621058457","https://openalex.org/W2912622974","https://openalex.org/W2047881532","https://openalex.org/W2285795935","https://openalex.org/W2987087830","https://openalex.org/W2953306542","https://openalex.org/W4386421932","https://openalex.org/W4225799919","https://openalex.org/W4385080093","https://openalex.org/W1841334895"],"abstract_inverted_index":{"As":[0],"micro-architectures":[1],"evolve":[2],"with":[3,31,149,219],"increasing":[4],"complexity,":[5],"the":[6,55,64,74,94,104,110,122,136,150,174,207,224,227,231],"design":[7,22],"process":[8],"needs":[9],"to":[10,20,60,69,92,120,139],"account":[11],"for":[12,28,97,154],"a":[13,36,86,141,156,167,179,194,212],"broad":[14],"range":[15],"of":[16,49,54,73,89,169,181,196,223,226],"parameters,":[17],"which":[18,81],"leads":[19],"expansive":[21],"spaces.":[23],"Design":[24],"space":[25],"exploration":[26],"(DSE)":[27],"multiple":[29],"metrics":[30,96],"limited":[32],"simulation":[33,90],"resources":[34],"is":[35,58,67,118,146,164,189],"challenging":[37],"task.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"focus":[43],"on":[44,103],"multi-objective":[45,175],"(performance":[46],"and":[47,63,99,129,230],"area":[48],"processor)":[50],"optimization,":[51],"where":[52],"one":[53],"objectives":[56],"(performance)":[57],"infeasible":[59],"model":[61,70,93],"analytically":[62],"other":[65],"(area)":[66],"easy":[68],"analytically.":[71],"Most":[72],"current":[75],"black-box":[76,152,199],"optimization":[77,95,176,184,200,215],"methods":[78],"are":[79],"data-driven,":[80],"means":[82],"that":[83,145,206],"they":[84],"require":[85],"large":[87],"amount":[88],"data":[91,123],"high-dimensional":[98],"discrete":[100],"problems.":[101,185,201],"Based":[102],"mixed":[105],"integer":[106],"linear":[107],"programming":[108],"(MILP),":[109],"Surrogate":[111],"Objective-based":[112],"Parallel":[113],"Multi-objective":[114],"Optimization":[115],"Algorithm":[116],"(SOP-MOOA)":[117],"proposed":[119,133,208],"reduce":[121],"requirements":[124],"by":[125,191],"integrating":[126],"mechanism":[127],"constraints":[128],"human":[130],"experience.":[131],"The":[132,160,186,202],"method":[134],"adopts":[135],"separability":[137],"assumption":[138],"establish":[140],"surrogate":[142],"objective":[143,153,158,163],"function":[144],"ordinal":[147],"consistent":[148],"real":[151],"paralleling":[155],"single":[157],"model.":[159],"white":[161],"box":[162],"modeled":[165],"as":[166],"series":[168,180,195],"arithmetic":[170],"constraints,":[171],"thus":[172],"transforming":[173],"problem":[177],"into":[178],"parallel":[182,197],"single-objective":[183,198],"Pareto-optimal":[187,228],"set":[188,229],"explored":[190],"iteratively":[192],"constructing":[193],"experimental":[203],"results":[204],"show":[205],"algorithm":[209],"outperforms":[210],"HEBO,":[211],"state-of-the-art":[213],"Bayesian":[214],"(BO)":[216],"method,":[217],"combined":[218],"NSGA-II":[220],"in":[221],"terms":[222],"quality":[225],"recommended":[232],"points.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
