{"id":"https://openalex.org/W4386505312","doi":"https://doi.org/10.1145/3587716.3587785","title":"A Hybrid Reinforcement Learning and Genetic Algorithm for VLSI Floorplanning","display_name":"A Hybrid Reinforcement Learning and Genetic Algorithm for VLSI Floorplanning","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4386505312","doi":"https://doi.org/10.1145/3587716.3587785"},"language":"en","primary_location":{"id":"doi:10.1145/3587716.3587785","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","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/A5103157397","display_name":"Ke Liu","orcid":"https://orcid.org/0009-0003-1979-4592"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Liu","raw_affiliation_strings":["School of Microelectronic, Southeast University, China"],"raw_orcid":"https://orcid.org/0009-0003-1979-4592","affiliations":[{"raw_affiliation_string":"School of Microelectronic, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101513424","display_name":"Jian Gu","orcid":"https://orcid.org/0009-0004-2418-0170"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Gu","raw_affiliation_strings":["School of Microelectronic, Southeast University, China"],"raw_orcid":"https://orcid.org/0009-0004-2418-0170","affiliations":[{"raw_affiliation_string":"School of Microelectronic, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050333667","display_name":"Hao Gu","orcid":"https://orcid.org/0000-0002-3110-2531"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gu","raw_affiliation_strings":["School of Microelectronic, Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0002-3110-2531","affiliations":[{"raw_affiliation_string":"School of Microelectronic, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065790763","display_name":"Ziran Zhu","orcid":"https://orcid.org/0000-0002-9475-6364"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziran Zhu","raw_affiliation_strings":["School of Microelectronic, Southeast University, China"],"raw_orcid":"https://orcid.org/0000-0002-9475-6364","affiliations":[{"raw_affiliation_string":"School of Microelectronic, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103157397"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.2555,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53630558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"412","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11527","display_name":"3D IC and TSV technologies","score":0.9959999918937683,"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/floorplan","display_name":"Floorplan","score":0.9240524768829346},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.7366406321525574},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6947797536849976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6167958378791809},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6147459745407104},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.5597841143608093},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4782235324382782},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.450175017118454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32455581426620483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25483211874961853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19116422533988953},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1391451060771942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1248435378074646}],"concepts":[{"id":"https://openalex.org/C130145326","wikidata":"https://www.wikidata.org/wiki/Q1553985","display_name":"Floorplan","level":2,"score":0.9240524768829346},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.7366406321525574},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6947797536849976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167958378791809},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6147459745407104},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.5597841143608093},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4782235324382782},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.450175017118454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32455581426620483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25483211874961853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19116422533988953},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1391451060771942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1248435378074646}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587716.3587785","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2023022197","https://openalex.org/W2029631366","https://openalex.org/W2085374061","https://openalex.org/W2100740271","https://openalex.org/W2119408963","https://openalex.org/W2144249008","https://openalex.org/W2154462472","https://openalex.org/W2158458634","https://openalex.org/W2170186790","https://openalex.org/W2605863669","https://openalex.org/W3115480774","https://openalex.org/W3171752851","https://openalex.org/W3216969643","https://openalex.org/W4214717370","https://openalex.org/W4239364405","https://openalex.org/W4239854918"],"related_works":["https://openalex.org/W2055008360","https://openalex.org/W2135118255","https://openalex.org/W215057456","https://openalex.org/W2133901311","https://openalex.org/W2136768364","https://openalex.org/W2087871358","https://openalex.org/W2120361800","https://openalex.org/W2182445672","https://openalex.org/W4386643835","https://openalex.org/W2014162767"],"abstract_inverted_index":{"Floorplanning":[0],"plays":[1],"an":[2,101,114],"essential":[3],"role":[4],"in":[5],"very":[6],"large-scale":[7],"integration":[8],"(VLSI)":[9],"design":[10],"flow":[11],"since":[12],"its":[13],"solution":[14],"quality":[15],"significantly":[16],"affects":[17],"the":[18,29,45,66,69,75,91,96,110,120,128,135],"circuit\u2019s":[19],"power,":[20],"performance,":[21],"and":[22,39,59,71,118,143],"area":[23,142],"(PPA).":[24],"Under":[25],"practical":[26],"manufacturing":[27],"circumstances,":[28],"fixed":[30],"boundary":[31],"of":[32,74,127,145],"a":[33,41,55,140,146],"floorplan":[34],"needs":[35],"to":[36,80,88,90,107],"be":[37],"considered,":[38],"such":[40],"tight":[42],"fixed-outline":[43],"makes":[44,119],"floorplanning":[46,129],"problem":[47],"more":[48,86],"complicated.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,99],"develop":[54],"hybrid":[56],"reinforcement":[57,104],"learning":[58,105],"genetic":[60,76],"algorithm":[61,77,137],"for":[62],"VLSI":[63],"floorplanning.":[64],"On":[65,95],"one":[67],"hand,":[68,98],"crossover":[70],"mutation":[72],"operations":[73],"are":[78,85],"adopted":[79],"filter":[81],"out":[82],"individuals":[83],"which":[84,112],"likely":[87],"transform":[89],"global":[92],"optimal":[93],"solution.":[94],"other":[97],"propose":[100],"off-policy":[102],"based":[103],"method":[106],"further":[108],"optimize":[109],"individuals,":[111],"trains":[113],"agent":[115,121],"from":[116],"scratch":[117],"learn":[122],"local":[123],"search":[124],"optimization":[125],"strategy":[126],"problem.":[130],"Experiment":[131],"results":[132],"show":[133],"that":[134],"proposed":[136],"can":[138],"obtain":[139],"better":[141],"wirelength":[144],"floorplan.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
