{"id":"https://openalex.org/W2163090143","doi":"https://doi.org/10.1109/cec.2014.6900353","title":"A tabu search heuristic for the single row layout problem with shared clearances","display_name":"A tabu search heuristic for the single row layout problem with shared clearances","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2163090143","doi":"https://doi.org/10.1109/cec.2014.6900353","mag":"2163090143"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033791342","display_name":"Meng Yu","orcid":"https://orcid.org/0000-0001-6009-3200"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meng Yu","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076983154","display_name":"Xingquan Zuo","orcid":"https://orcid.org/0000-0001-9580-1182"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Xingquan Zuo","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036522332","display_name":"Chase Murray","orcid":"https://orcid.org/0000-0001-8506-5556"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chase C. Murray","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6797,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6869469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"819","last_page":"825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9998999834060669,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9998999834060669,"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/T12176","display_name":"Optimization and Packing Problems","score":0.979200005531311,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/tabu-search","display_name":"Tabu search","score":0.9209776520729065},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.7988336682319641},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7390562295913696},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6570595502853394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410655975341797},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43342238664627075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24270975589752197}],"concepts":[{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.9209776520729065},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7988336682319641},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7390562295913696},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6570595502853394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410655975341797},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43342238664627075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24270975589752197},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1972294173","https://openalex.org/W1981101272","https://openalex.org/W1981787769","https://openalex.org/W1982846944","https://openalex.org/W1985680559","https://openalex.org/W1994587583","https://openalex.org/W2002576503","https://openalex.org/W2026863487","https://openalex.org/W2059646223","https://openalex.org/W2064995276","https://openalex.org/W2075196888","https://openalex.org/W2079699733","https://openalex.org/W2084792706","https://openalex.org/W2102227855","https://openalex.org/W2132483207","https://openalex.org/W2140653954","https://openalex.org/W2587409337","https://openalex.org/W4247081295"],"related_works":["https://openalex.org/W2224940485","https://openalex.org/W2168643831","https://openalex.org/W2075514833","https://openalex.org/W2381791171","https://openalex.org/W4247343174","https://openalex.org/W1987877777","https://openalex.org/W2366189044","https://openalex.org/W2365741636","https://openalex.org/W2011733276","https://openalex.org/W3203276095"],"abstract_inverted_index":{"The":[0,14,52,107],"single":[1,41],"row":[2,27,42],"layout":[3,12,43],"problem":[4,15,44,70,115],"is":[5,50,73,87,99,111,124,139],"a":[6,20,40,76,127],"common":[7],"and":[8,120,123,146],"well-studied":[9],"practical":[10],"facility":[11],"problem.":[13],"seeks":[16],"the":[17,30,91,96,101],"arrangement":[18],"of":[19,23,32,64,82,93,155],"fixed":[21],"number":[22],"facilities":[24,49,94],"along":[25],"one":[26,60],"that":[28,136],"minimizes":[29],"objective":[31],"total":[33],"material":[34],"handling":[35],"cost.":[36],"In":[37],"this":[38,69],"paper,":[39],"with":[45,75],"shared":[46,53],"clearance":[47,55,103],"between":[48],"proposed.":[51],"additional":[54,102],"may":[56],"be":[57],"considered":[58],"on":[59],"or":[61],"both":[62],"sides":[63],"each":[65,105],"facility.":[66,106],"To":[67],"solve":[68,80],"tabu":[71],"search":[72,86],"combined":[74],"heuristic":[77,97],"rule":[78,98],"to":[79,89,113,141],"problems":[81,154],"realistic":[83,156],"size.":[84],"Tabu":[85],"used":[88],"find":[90],"sequence":[92],"while":[95],"determines":[100],"for":[104,153],"proposed":[108],"solution":[109],"approach":[110,138],"applied":[112],"several":[114],"instances":[116],"involving":[117],"10,":[118],"20":[119],"30":[121],"facilities,":[122],"compared":[125],"against":[126],"popular":[128],"mathematical":[129],"programming":[130],"solver":[131],"(CPLEX).":[132],"Computational":[133],"results":[134],"show":[135],"our":[137],"able":[140],"obtain":[142],"high":[143],"quality":[144],"solutions":[145],"outperforms":[147],"CPLEX":[148],"under":[149],"limited":[150],"computational":[151],"time":[152],"sizes.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
