{"id":"https://openalex.org/W2104015709","doi":"https://doi.org/10.1109/ijcnn.2012.6252574","title":"Performance improvement of heuristic algorithms for large scale combinatorial optimization problems using Lebesgue Spectrum Filter","display_name":"Performance improvement of heuristic algorithms for large scale combinatorial optimization problems using Lebesgue Spectrum Filter","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2104015709","doi":"https://doi.org/10.1109/ijcnn.2012.6252574","mag":"2104015709"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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/A5063369990","display_name":"Tomohiro Kato","orcid":"https://orcid.org/0000-0003-3322-4791"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Kato","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Chiyoda, Tokyo, Japan","Department of Electrical Engineering, Tokyo University of Science, 1-14-6 Kudankita Chiyoda-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 1-14-6 Kudankita Chiyoda-ku, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056390537","display_name":"Mikio Hasegawa","orcid":"https://orcid.org/0000-0001-5638-8022"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Hasegawa","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Chiyoda, Tokyo, Japan","Department of Electrical Engineering, Tokyo University of Science, 1-14-6 Kudankita Chiyoda-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, 1-14-6 Kudankita Chiyoda-ku, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038078845","display_name":"Kazuyuki Aihara","orcid":"https://orcid.org/0000-0002-4602-9816"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Aihara","raw_affiliation_strings":["Institute of Industrial Science, University of Tokyo, Meguro, Tokyo, Japan","Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, 153-8505, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, University of Tokyo, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974","https://openalex.org/I161296585"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, 153-8505, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9067000150680542,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7197278738021851},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6956440210342407},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6491106748580933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6009098887443542},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.599038302898407},{"id":"https://openalex.org/keywords/aperiodic-graph","display_name":"Aperiodic graph","score":0.5868634581565857},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5776901245117188},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.44103342294692993},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.4334902763366699},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4331565797328949},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4281967580318451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31930315494537354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1570681631565094}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7197278738021851},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6956440210342407},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6491106748580933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6009098887443542},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.599038302898407},{"id":"https://openalex.org/C104247578","wikidata":"https://www.wikidata.org/wiki/Q4779368","display_name":"Aperiodic graph","level":2,"score":0.5868634581565857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5776901245117188},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.44103342294692993},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.4334902763366699},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4331565797328949},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4281967580318451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31930315494537354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1570681631565094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","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":19,"referenced_works":["https://openalex.org/W360751311","https://openalex.org/W1493758359","https://openalex.org/W1525056140","https://openalex.org/W1538052603","https://openalex.org/W1543825751","https://openalex.org/W1971700807","https://openalex.org/W1992442093","https://openalex.org/W1996984927","https://openalex.org/W2014760270","https://openalex.org/W2042986967","https://openalex.org/W2070181584","https://openalex.org/W2076998221","https://openalex.org/W2082713402","https://openalex.org/W2089280967","https://openalex.org/W2151178341","https://openalex.org/W2943568984","https://openalex.org/W3036211873","https://openalex.org/W6612134581","https://openalex.org/W6631443142"],"related_works":["https://openalex.org/W2037661079","https://openalex.org/W2339191433","https://openalex.org/W4287817191","https://openalex.org/W4298800952","https://openalex.org/W2039582600","https://openalex.org/W1992569127","https://openalex.org/W172284633","https://openalex.org/W4380551899","https://openalex.org/W2601990241","https://openalex.org/W2105345344"],"abstract_inverted_index":{"In":[0,23,118],"this":[1,119],"paper,":[2,120],"we":[3,128],"analyze":[4],"effectiveness":[5,71],"of":[6,54,72,81,147,161],"a":[7],"new":[8],"metaheuristic":[9],"approach,":[10],"which":[11,85],"utilizes":[12],"ideal":[13],"spatio-temporal":[14,99],"chaotic":[15,30,46,83,100],"dynamics":[16,102],"generated":[17],"by":[18,77,149,169],"Lebesgue":[19],"Spectrum":[20],"Filter":[21],"(LSF).":[22],"the":[24,28,33,45,52,78,82,88,91,130,133,136,140,145,151,159],"previous":[25],"researches":[26],"on":[27],"additive":[29],"noise":[31],"to":[32,111],"heuristic":[34,65,164],"searches":[35,66],"for":[36],"combinatorial":[37,115,125],"optimization":[38,116,126],"problems,":[39],"it":[40],"has":[41,107],"been":[42,108],"shown":[43,109],"that":[44,87,158],"sequences":[47,92],"with":[48,93,103],"negative":[49,94,171],"autocorrelation":[50,95],"improve":[51,112,144],"performance":[53,146],"asynchronously":[55,113,123],"updated":[56,114,124],"algorithms,":[57,127],"such":[58,104,122],"as":[59,121],"mutually":[60],"connected":[61],"neural":[62],"networks,":[63],"asynchronous":[64],"and":[67,139,143],"so":[68],"on.":[69],"The":[70,98],"chaos":[73],"can":[74],"be":[75,167],"understood":[76],"conventional":[79],"theory":[80],"CDMA,":[84],"showed":[86],"cross-correlation":[89,106],"between":[90],"becomes":[96],"lowest.":[97],"searching":[101],"lowest":[105],"effective":[110],"algorithms.":[117],"introduce":[129],"2-exchange":[131],"method,":[132,135,138,142],"k-opt":[134],"Lin-Kernighan":[137],"Or-opt":[141],"them":[148],"applying":[150],"LSF.":[152],"Our":[153],"numerical":[154],"simulation":[155],"results":[156],"show":[157],"performances":[160],"all":[162],"above":[163],"methods":[165],"could":[166],"improved":[168],"using":[170],"autocorrelation.":[172]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
