{"id":"https://openalex.org/W2897628097","doi":"https://doi.org/10.1109/icci-cc.2018.8482029","title":"Cooperative Encoding Strategy for Gate Array Placement on Integrated Circuits","display_name":"Cooperative Encoding Strategy for Gate Array Placement on Integrated Circuits","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897628097","doi":"https://doi.org/10.1109/icci-cc.2018.8482029","mag":"2897628097"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2018.8482029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5101985680","display_name":"Guangping Zeng","orcid":"https://orcid.org/0000-0003-0494-3877"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangping Zeng","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110632975","display_name":"Xuyan Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyan Tu","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009247011","display_name":"Qing-Dong Su","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingdong Su","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395762","display_name":"Hongbo Wang","orcid":"https://orcid.org/0000-0002-4765-4584"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Wang","raw_affiliation_strings":["Department of Computer Science and Technology, University of Science and Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101985680"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10514605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"180","issue":null,"first_page":"567","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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/T12224","display_name":"Nanofabrication and Lithography Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9921000003814697,"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/encoding","display_name":"Encoding (memory)","score":0.6756776571273804},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6481999754905701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147940158843994},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.5097352862358093},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45106014609336853},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4437119960784912},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4365411102771759},{"id":"https://openalex.org/keywords/placement","display_name":"Placement","score":0.43327975273132324},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42766910791397095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3555639982223511},{"id":"https://openalex.org/keywords/integrated-circuit","display_name":"Integrated circuit","score":0.30485090613365173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2575356066226959},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18315589427947998},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1488412618637085},{"id":"https://openalex.org/keywords/physical-design","display_name":"Physical design","score":0.1411813497543335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11635056138038635},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09751468896865845}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6756776571273804},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6481999754905701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147940158843994},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.5097352862358093},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45106014609336853},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4437119960784912},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4365411102771759},{"id":"https://openalex.org/C117690923","wikidata":"https://www.wikidata.org/wiki/Q1484784","display_name":"Placement","level":4,"score":0.43327975273132324},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42766910791397095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3555639982223511},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.30485090613365173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2575356066226959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18315589427947998},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1488412618637085},{"id":"https://openalex.org/C188817802","wikidata":"https://www.wikidata.org/wiki/Q13426855","display_name":"Physical design","level":3,"score":0.1411813497543335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11635056138038635},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09751468896865845},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icci-cc.2018.8482029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2018.8482029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W989992576","https://openalex.org/W1536133900","https://openalex.org/W1883490772","https://openalex.org/W2038072473","https://openalex.org/W2118835565","https://openalex.org/W2129115040","https://openalex.org/W3023054118","https://openalex.org/W3034517114","https://openalex.org/W4229555657","https://openalex.org/W4234143391","https://openalex.org/W6625962084","https://openalex.org/W6676886990"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4299389082","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2102514425","https://openalex.org/W2962747841","https://openalex.org/W2014162767","https://openalex.org/W2076431810"],"abstract_inverted_index":{"With":[0],"the":[1,15,25,58,116,122,141,159],"rapid":[2],"development":[3],"of":[4,18,44,75,85,110,118,125,144],"nanometer":[5],"submicron":[6],"technology,":[7],"a":[8,19,63,69,76,81,100,111,132,155],"delay":[9],"from":[10],"those":[11,151],"related":[12,156],"interconnect":[13],"becomes":[14],"dominant":[16],"factor":[17],"chip":[20],"performance.":[21],"In":[22],"recent":[23],"years,":[24],"quadratic":[26],"force-directed":[27,41],"placement":[28,42,166],"is":[29,136,167],"becoming":[30],"popular":[31],"due":[32],"to":[33],"its":[34,105],"stable":[35],"quality":[36,74],"at":[37],"low":[38],"power.":[39],"The":[40,51,78,93,147],"composes":[43],"two":[45,52],"operations,":[46],"namely,":[47],"orientating":[48],"and":[49,104,121,154,169],"modulating.":[50],"actions":[53],"are":[54],"going":[55],"on":[56,72,89,98],"until":[57],"overlap":[59],"degree":[60],"can":[61],"meet":[62],"predetermined":[64],"target.":[65],"Different":[66],"methods":[67],"have":[68],"great":[70],"influence":[71],"their":[73],"layout.":[77],"article":[79],"suggests":[80],"novel":[82],"encoding":[83,161],"strategy":[84,162],"two-dimensional":[86],"chromosome":[87],"based":[88],"Immune":[90],"Cooperative":[91],"Optimization.":[92],"main":[94],"works":[95],"first":[96],"focus":[97],"that":[99],"multi-point":[101],"crossover":[102],"strategy,":[103],"Poisson":[106],"distribution":[107],"makes":[108],"use":[109],"density":[112],"Euclidean":[113],"distance":[114],"between":[115],"concentration":[117],"antibody":[119],"suppression":[120],"translation":[123],"variation":[124],"optimal":[126],"gene":[127],"pair":[128],"in":[129],"two-dimension.":[130],"Then":[131],"flexible":[133],"region":[134],"division":[135],"proposed":[137],"for":[138,163],"dealing":[139],"with":[140],"layout":[142],"problem":[143],"gate":[145,164],"array.":[146],"result":[148],"obtained":[149],"through":[150],"comparative":[152],"simulations":[153],"experiment":[157],"indicates":[158],"constructed":[160],"array":[165],"effective":[168],"efficient.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}