{"id":"https://openalex.org/W2003048174","doi":"https://doi.org/10.1109/ewdts.2014.7027053","title":"Representation of solutions in genetic VLSI placement algorithms","display_name":"Representation of solutions in genetic VLSI placement algorithms","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2003048174","doi":"https://doi.org/10.1109/ewdts.2014.7027053","mag":"2003048174"},"language":"en","primary_location":{"id":"doi:10.1109/ewdts.2014.7027053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts.2014.7027053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014)","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/A5109998495","display_name":"D.U. Zaporozhets","orcid":null},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"D.U. Zaporozhets","raw_affiliation_strings":["College of Automation and Computer Science, Southern Federal University","Southern Federal University, College of Automation and Computer Science, Russia"],"affiliations":[{"raw_affiliation_string":"College of Automation and Computer Science, Southern Federal University","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"Southern Federal University, College of Automation and Computer Science, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059657802","display_name":"Daria Zaruba","orcid":"https://orcid.org/0000-0003-0223-5551"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"D.V. Zaruba","raw_affiliation_strings":["College of Automation and Computer Science, Southern Federal University","Southern Federal University, College of Automation and Computer Science, Russia"],"affiliations":[{"raw_affiliation_string":"College of Automation and Computer Science, Southern Federal University","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"Southern Federal University, College of Automation and Computer Science, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051416159","display_name":"Vladimir Kureichik","orcid":"https://orcid.org/0000-0002-6260-4286"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"V.V. Kureichik","raw_affiliation_strings":["College of Automation and Computer Science, Southern Federal University","Southern Federal University, College of Automation and Computer Science, Russia"],"affiliations":[{"raw_affiliation_string":"College of Automation and Computer Science, Southern Federal University","institution_ids":["https://openalex.org/I137534880"]},{"raw_affiliation_string":"Southern Federal University, College of Automation and Computer Science, Russia","institution_ids":["https://openalex.org/I137534880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109998495"],"corresponding_institution_ids":["https://openalex.org/I137534880"],"apc_list":null,"apc_paid":null,"fwci":8.32334072,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97467837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"212","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9592000246047974,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9592000246047974,"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"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9174000024795532,"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/decoding-methods","display_name":"Decoding methods","score":0.841340959072113},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.7620775699615479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7006746530532837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6628459095954895},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6090260744094849},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5599624514579773},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5261991620063782},{"id":"https://openalex.org/keywords/berlekamp\u2013welch-algorithm","display_name":"Berlekamp\u2013Welch algorithm","score":0.45846235752105713},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.4332680404186249},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.41111159324645996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.360750287771225},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.35888391733169556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23876091837882996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12911593914031982}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.841340959072113},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.7620775699615479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7006746530532837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628459095954895},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6090260744094849},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5599624514579773},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5261991620063782},{"id":"https://openalex.org/C132727834","wikidata":"https://www.wikidata.org/wiki/Q4892328","display_name":"Berlekamp\u2013Welch algorithm","level":5,"score":0.45846235752105713},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.4332680404186249},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.41111159324645996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.360750287771225},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.35888391733169556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23876091837882996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12911593914031982},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ewdts.2014.7027053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts.2014.7027053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of IEEE East-West Design & Test Symposium (EWDTS 2014)","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":3,"referenced_works":["https://openalex.org/W65892136","https://openalex.org/W1605203071","https://openalex.org/W1987786682"],"related_works":["https://openalex.org/W2385322349","https://openalex.org/W2369600518","https://openalex.org/W2370284973","https://openalex.org/W2028976748","https://openalex.org/W2050784748","https://openalex.org/W2383267581","https://openalex.org/W2102627024","https://openalex.org/W2182594114","https://openalex.org/W2357077655","https://openalex.org/W2085052822"],"abstract_inverted_index":{"The":[0,22,36,68],"VLSI":[1],"placement":[2,30],"problem":[3],"is":[4,20,26,39,75,87,95],"presented":[5],"in":[6,41,47],"this":[7],"article.":[8],"A":[9],"mechanism":[10],"of":[11,13,45,51,54,61,71,83,98],"representation":[12],"solutions":[14],"for":[15],"further":[16],"genetic":[17],"algorithm":[18,25,38,74,86],"implementation":[19],"described.":[21],"proposed":[23,63],"encoding":[24,73],"based":[27],"on":[28],"a":[29],"tree":[31],"and":[32,49,65],"reverse":[33],"Polish":[34],"notation.":[35],"decoding":[37,66,85],"implemented":[40],"two":[42],"stages:":[43],"twinning":[44],"elements":[46],"macroblocks":[48],"calculation":[50],"real":[52],"coordinates":[53],"elements.":[55,99],"Experimental":[56],"results":[57],"show":[58],"time-response":[59],"characteristics":[60],"the":[62,72,80,84,96],"coding":[64],"mechanisms.":[67],"time":[69,81],"complexity":[70,82],"represented":[76,88],"by":[77,89],"O(n)":[78],"whereas":[79],"O(n":[90],"log":[91],"n),":[92],"where":[93],"n":[94],"number":[97]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}