{"id":"https://openalex.org/W2084727633","doi":"https://doi.org/10.1162/089976600300015114","title":"\u03bb-Opt Neural Approaches to Quadratic Assignment Problems","display_name":"\u03bb-Opt Neural Approaches to Quadratic Assignment Problems","publication_year":2000,"publication_date":"2000-09-01","ids":{"openalex":"https://openalex.org/W2084727633","doi":"https://doi.org/10.1162/089976600300015114","mag":"2084727633"},"language":"en","primary_location":{"id":"doi:10.1162/089976600300015114","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976600300015114","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-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/A5072540019","display_name":"Shin Ishii","orcid":"https://orcid.org/0000-0001-9385-8230"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shin Ishii","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan and ATR Human Information Processing Research Laboratories, Soraku-gun, Kyoto, 619-0288 Japan"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan and ATR Human Information Processing Research Laboratories, Soraku-gun, Kyoto, 619-0288 Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046494586","display_name":"Hirotaka Niitsuma","orcid":"https://orcid.org/0000-0001-8746-1595"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirotaka Niitsuma","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan","Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma-shi, Nara, 630-0101 Japan#TAB#","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072540019"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":1.5379,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8650707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"9","first_page":"2209","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9977999925613403,"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":0.9739999771118164,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9656999707221985,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.8293329477310181},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6753308773040771},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5829749703407288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5371627807617188},{"id":"https://openalex.org/keywords/lambda","display_name":"Lambda","score":0.528417706489563},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5051971077919006},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4896135926246643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4829768240451813},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45303237438201904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44368305802345276},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4254131317138672},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.42089781165122986},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37390729784965515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3300381600856781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24747273325920105},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12434789538383484},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09680917859077454},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09617781639099121}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8293329477310181},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6753308773040771},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5829749703407288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5371627807617188},{"id":"https://openalex.org/C2778113609","wikidata":"https://www.wikidata.org/wiki/Q10897","display_name":"Lambda","level":2,"score":0.528417706489563},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5051971077919006},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4896135926246643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4829768240451813},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45303237438201904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44368305802345276},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4254131317138672},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.42089781165122986},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37390729784965515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3300381600856781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24747273325920105},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12434789538383484},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09680917859077454},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09617781639099121},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1162/089976600300015114","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976600300015114","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W134518289","https://openalex.org/W1503085769","https://openalex.org/W1575155528","https://openalex.org/W1597286183","https://openalex.org/W1965057580","https://openalex.org/W1971700807","https://openalex.org/W1989353689","https://openalex.org/W1990283121","https://openalex.org/W2020696014","https://openalex.org/W2042170765","https://openalex.org/W2042986967","https://openalex.org/W2053416628","https://openalex.org/W2108109322","https://openalex.org/W2119745285","https://openalex.org/W2127078870","https://openalex.org/W2128566668","https://openalex.org/W2133003874","https://openalex.org/W2136087206","https://openalex.org/W2170612190","https://openalex.org/W2403173049","https://openalex.org/W2426208283","https://openalex.org/W2611147814","https://openalex.org/W4238555373"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W4320035781","https://openalex.org/W2052387497","https://openalex.org/W4246278799","https://openalex.org/W2050203848"],"abstract_inverted_index":{"In":[0,76],"this":[1,63],"article,":[2],"we":[3,43,78],"propose":[4],"new":[5,52,95],"analog":[6,26],"neural":[7],"approaches":[8],"to":[9,83,99],"combinatorial":[10],"optimization":[11],"problems,":[12,107],"in":[13,39],"particular,":[14],"quadratic":[15],"assignment":[16],"problems":[17],"(QAPs).":[18],"Our":[19],"proposed":[20],"methods":[21,53,82,96],"are":[22,97,109],"based":[23],"on":[24],"an":[25],"version":[27],"of":[28],"the":[29,65,100,114],"\u03bb-opt":[30],"heuristics,":[31],"which":[32],"simultaneously":[33],"changes":[34],"assignments":[35],"for":[36,104],"\u03bb":[37,49],"elements":[38],"a":[40,46,56],"permutation.":[41],"Since":[42],"can":[44,54],"take":[45],"relatively":[47,84],"large":[48],"value,":[50],"our":[51,81,94],"achieve":[55],"middle-range":[57],"search":[58],"over":[59],"possible":[60],"solutions,":[61],"and":[62,71],"helps":[64],"system":[66],"neglect":[67],"shallow":[68],"local":[69,74],"minima":[70],"escape":[72],"from":[73],"minima.":[75],"experiments,":[77],"have":[79,91],"applied":[80],"large-scale":[85],"(N":[86],"=":[87],"80\u2013150)":[88],"QAPs.":[89],"Results":[90],"shown":[92],"that":[93],"comparable":[98],"present":[101],"champion":[102,116],"algorithms;":[103],"two":[105],"benchmark":[106],"they":[108],"obtain":[110],"better":[111],"solutions":[112],"than":[113],"previous":[115],"algorithms.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}