{"id":"https://openalex.org/W2913753248","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633152","title":"Comparative Study of Inhomogeneous Simulated Annealing Algorithms for Quadratic Assignment Problem","display_name":"Comparative Study of Inhomogeneous Simulated Annealing Algorithms for Quadratic Assignment Problem","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2913753248","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633152","mag":"2913753248"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5079329936","display_name":"Zuoling Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuoling Ma","raw_affiliation_strings":["Fujian Agriculture and Forestry University, Fuzhou, PR China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University, Fuzhou, PR China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947132","display_name":"Lijin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijin Wang","raw_affiliation_strings":["Fujian Agriculture and Forestry University, Fuzhou, PR China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University, Fuzhou, PR China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003190086","display_name":"Song Yue Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Lin","raw_affiliation_strings":["Fujian Agriculture and Forestry University, Fuzhou, PR China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University, Fuzhou, PR China","institution_ids":["https://openalex.org/I61057504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031490906","display_name":"Yiwen Zhong","orcid":"https://orcid.org/0000-0002-9132-913X"},"institutions":[{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Zhong","raw_affiliation_strings":["Fujian Agriculture and Forestry University, Fuzhou, PR China"],"affiliations":[{"raw_affiliation_string":"Fujian Agriculture and Forestry University, Fuzhou, PR China","institution_ids":["https://openalex.org/I61057504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079329936"],"corresponding_institution_ids":["https://openalex.org/I61057504"],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58690519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9984999895095825,"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/simulated-annealing","display_name":"Simulated annealing","score":0.8322525024414062},{"id":"https://openalex.org/keywords/quadratic-assignment-problem","display_name":"Quadratic assignment problem","score":0.8240873217582703},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.767296552658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7029123306274414},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5790103673934937},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5704275965690613},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5353560447692871},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5208619236946106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.460671067237854},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4237470030784607},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.3885233402252197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18209850788116455}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.8322525024414062},{"id":"https://openalex.org/C98036226","wikidata":"https://www.wikidata.org/wiki/Q7268356","display_name":"Quadratic assignment problem","level":3,"score":0.8240873217582703},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.767296552658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029123306274414},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5790103673934937},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5704275965690613},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5353560447692871},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5208619236946106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.460671067237854},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4237470030784607},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.3885233402252197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18209850788116455},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W959926157","https://openalex.org/W1202013706","https://openalex.org/W1495529990","https://openalex.org/W1535181535","https://openalex.org/W1552301993","https://openalex.org/W1557996040","https://openalex.org/W1563347681","https://openalex.org/W1601964570","https://openalex.org/W1973302926","https://openalex.org/W1978798413","https://openalex.org/W1979142433","https://openalex.org/W1979749103","https://openalex.org/W1979809380","https://openalex.org/W1991005923","https://openalex.org/W1993612309","https://openalex.org/W2026004691","https://openalex.org/W2032342293","https://openalex.org/W2046858085","https://openalex.org/W2047101207","https://openalex.org/W2053321925","https://openalex.org/W2053496475","https://openalex.org/W2056215024","https://openalex.org/W2063713454","https://openalex.org/W2065656428","https://openalex.org/W2066883591","https://openalex.org/W2071988618","https://openalex.org/W2091171206","https://openalex.org/W2093475907","https://openalex.org/W2096325680","https://openalex.org/W2098963055","https://openalex.org/W2099377044","https://openalex.org/W2109364787","https://openalex.org/W2110390205","https://openalex.org/W2118573797","https://openalex.org/W2122159448","https://openalex.org/W2139409767","https://openalex.org/W2146707341","https://openalex.org/W2152004600","https://openalex.org/W2156668787","https://openalex.org/W2159505773","https://openalex.org/W2245625545","https://openalex.org/W2280269595","https://openalex.org/W2302174052","https://openalex.org/W2303904761","https://openalex.org/W2306967788","https://openalex.org/W2554099796","https://openalex.org/W2594655747","https://openalex.org/W2749205408","https://openalex.org/W4292083457","https://openalex.org/W6631804957","https://openalex.org/W6632980232","https://openalex.org/W6633409460","https://openalex.org/W6674957373","https://openalex.org/W6680686558","https://openalex.org/W6691073098"],"related_works":["https://openalex.org/W1939200287","https://openalex.org/W2082305040","https://openalex.org/W4381955380","https://openalex.org/W150166259","https://openalex.org/W1937970425","https://openalex.org/W2092337239","https://openalex.org/W3086925744","https://openalex.org/W3002422634","https://openalex.org/W3205136130","https://openalex.org/W46882622"],"abstract_inverted_index":{"Simulated":[0],"annealing":[1],"(SA)algorithm":[2],"is":[3,23,121,133],"a":[4,138],"popular":[5],"metaheuristic":[6],"which":[7],"has":[8,85],"been":[9],"widely":[10],"used":[11],"to":[12,59,102,110,117,123],"solve":[13],"many":[14],"continuous":[15],"and":[16],"combinatorial":[17],"optimization":[18],"problems.":[19],"Temperature":[20],"cooling":[21,96],"scheme":[22],"one":[24],"of":[25,63,67,91,105,126],"the":[26,49,61,103,111,119,124],"key":[27],"factors":[28],"for":[29,95,140],"its":[30],"promising":[31],"performance.":[32],"Several":[33],"studies":[34],"have":[35],"shown":[36],"that":[37],"reannealing":[38,76,120],"can":[39,77],"improve":[40,78],"SA's":[41],"performance":[42,66,80],"on":[43,65,88],"quadratic":[44],"assignment":[45],"problem":[46],"(QAP).":[47],"Using":[48],"benchmark":[50,139],"instances":[51,128],"from":[52],"QAPLIB,":[53],"this":[54],"paper":[55],"carried":[56],"systematic":[57],"experiments":[58],"compare":[60],"effect":[62,87],"rean-nealing":[64],"inhomogeneous":[68],"SA":[69],"(ISA).":[70],"Simulation":[71],"results":[72],"show":[73],"that:":[74],"(1)although":[75],"ISA's":[79],"in":[81],"general,":[82],"it":[83],"may":[84],"no":[86],"some":[89],"type":[90,104,125],"QAP":[92,106,127],"instances;":[93],"(2)parameters":[94],"schedule":[97],"are":[98],"not":[99],"only":[100],"sensitive":[101,109,122],"instance,":[107],"but":[108],"specific":[112],"instance":[113],"also;":[114],"(3)the":[115],"timing":[116],"activate":[118],"also.":[129],"The":[130],"source":[131],"code":[132],"made":[134],"publicly":[135],"available":[136],"as":[137],"future":[141],"comparisons.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
