{"id":"https://openalex.org/W2540634185","doi":"https://doi.org/10.1587/transcom.2016nei0002","title":"Improving Performance of Heuristic Algorithms by Lebesgue Spectrum Filter","display_name":"Improving Performance of Heuristic Algorithms by Lebesgue Spectrum Filter","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2540634185","doi":"https://doi.org/10.1587/transcom.2016nei0002","mag":"2540634185"},"language":"en","primary_location":{"id":"doi:10.1587/transcom.2016nei0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transcom.2016nei0002","pdf_url":"https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEI0002/_pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEI0002/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Mikio HASEGAWA","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056390537"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07412016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"E99.B","issue":"11","first_page":"2256","last_page":"2262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9968000054359436,"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":0.9968000054359436,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8510829210281372},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6363010406494141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5862781405448914},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5170286297798157},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49166423082351685},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33771398663520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16223996877670288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09309086203575134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.06521791219711304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8510829210281372},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6363010406494141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5862781405448914},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5170286297798157},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49166423082351685},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33771398663520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16223996877670288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09309086203575134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.06521791219711304},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transcom.2016nei0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transcom.2016nei0002","pdf_url":"https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEI0002/_pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transcom.2016nei0002","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transcom.2016nei0002","pdf_url":"https://www.jstage.jst.go.jp/article/transcom/E99.B/11/E99.B_2016NEI0002/_pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4139111870","display_name":"Chaotic Theory on Complex Low-Cross Correlation Dynamics and Its Application to Optimization of Cognitive Radio","funder_award_id":"26330117","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2540634185.pdf","grobid_xml":"https://content.openalex.org/works/W2540634185.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W360751311","https://openalex.org/W1503085769","https://openalex.org/W1525056140","https://openalex.org/W1534020785","https://openalex.org/W1597286183","https://openalex.org/W1835734348","https://openalex.org/W1992442093","https://openalex.org/W1996984927","https://openalex.org/W2007099865","https://openalex.org/W2008966940","https://openalex.org/W2014760270","https://openalex.org/W2070181584","https://openalex.org/W2076998221","https://openalex.org/W2082713402","https://openalex.org/W2089280967","https://openalex.org/W2151178341","https://openalex.org/W4292880809"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2062023542","https://openalex.org/W4313731559"],"abstract_inverted_index":{"The":[0],"previous":[1],"researches":[2,72],"on":[3],"the":[4,10,14,20,37,53,69,88,118,123,127,131,136,142,146,151],"chaotic":[5,11,50,70,89],"CDMA":[6,71],"have":[7,27],"theoretically":[8],"derived":[9],"sequences":[12],"having":[13],"minimum":[15],"asynchronous":[16,21],"cross-correlation.":[17],"To":[18],"minimize":[19],"cross-correlation,":[22],"autocorrelation":[23,101],"of":[24,36,87,98,135],"each":[25],"sequence":[26],"to":[28,44,75,113,122],"be":[29],"C(\u03c4)\u2248C\u00d7r\u03c4,":[30],"r=-2+\u221a3,":[31],"dumped":[32,103],"oscillation":[33,104],"with":[34,102],"increase":[35],"lag":[38],"\u03c4.":[39],"There":[40],"are":[41],"several":[42],"methods":[43],"generate":[45],"such":[46,64],"sequences,":[47],"using":[48,52],"a":[49],"map,":[51],"Lebesgue":[54],"spectrum":[55],"filter":[56],"(LSF)":[57],"and":[58,100,130,150],"so":[59],"on.":[60],"In":[61,83],"this":[62],"paper,":[63],"lowest":[65],"cross-correlation":[66],"found":[67],"in":[68,111],"is":[73,108,120,138],"applied":[74,121],"solution":[76,116],"search":[77,90],"algorithms":[78],"for":[79,105,141,145],"combinatorial":[80,84,106],"optimization":[81,107],"problems.":[82,154],"optimization,":[85],"effectiveness":[86],"has":[91],"already":[92],"been":[93],"clarified.":[94],"First,":[95],"an":[96],"importance":[97],"chaos":[99],"shown.":[109],"Next,":[110],"order":[112],"realize":[114],"ideal":[115],"search,":[117],"LSF":[119,137],"Hopfield-Tank":[124],"neural":[125],"network,":[126],"2-opt":[128],"method":[129],"2-exchange":[132],"method.":[133],"Effectiveness":[134],"clarified":[139],"even":[140],"large":[143],"problems":[144,149],"traveling":[147],"salesman":[148],"quadratic":[152],"assignment":[153]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}