{"id":"https://openalex.org/W4400482343","doi":"https://doi.org/10.1587/transinf.2024pap0007","title":"A Flip-Count-Based Dynamic Temperature Control Method for Constrained Combinatorial Optimization by Parallel Annealing Algorithms","display_name":"A Flip-Count-Based Dynamic Temperature Control Method for Constrained Combinatorial Optimization by Parallel Annealing Algorithms","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400482343","doi":"https://doi.org/10.1587/transinf.2024pap0007"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2024pap0007","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024pap0007","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"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 Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1587/transinf.2024pap0007","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111567547","display_name":"G. Inou\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genta INOUE","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074112037","display_name":"Daiki Okonogi","orcid":"https://orcid.org/0009-0007-0329-3063"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daiki OKONOGI","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043113953","display_name":"Satoru Jimbo","orcid":"https://orcid.org/0009-0005-6710-8897"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoru JIMBO","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026757519","display_name":"Thiem Van Chu","orcid":"https://orcid.org/0000-0002-2003-2574"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thiem Van CHU","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089388923","display_name":"Masato Motomura","orcid":"https://orcid.org/0000-0003-1543-1252"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato MOTOMURA","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002692556","display_name":"Kazushi Kawamura","orcid":"https://orcid.org/0000-0002-0795-2974"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazushi KAWAMURA","raw_affiliation_strings":["Tokyo Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07459393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E108.D","issue":"1","first_page":"12","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9948999881744385,"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":0.9865000247955322,"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":0.7641944289207458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064732909202576},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6697593927383423},{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.6550886631011963},{"id":"https://openalex.org/keywords/annealing","display_name":"Annealing (glass)","score":0.5976908802986145},{"id":"https://openalex.org/keywords/spins","display_name":"Spins","score":0.5554603934288025},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.5283404588699341},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5066624283790588},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.49496620893478394},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47170400619506836},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4632915258407593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1951572299003601},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19494518637657166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09738266468048096}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7641944289207458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064732909202576},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6697593927383423},{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.6550886631011963},{"id":"https://openalex.org/C2777855556","wikidata":"https://www.wikidata.org/wiki/Q4339544","display_name":"Annealing (glass)","level":2,"score":0.5976908802986145},{"id":"https://openalex.org/C2778870898","wikidata":"https://www.wikidata.org/wiki/Q7577658","display_name":"Spins","level":2,"score":0.5554603934288025},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.5283404588699341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5066624283790588},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49496620893478394},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47170400619506836},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4632915258407593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1951572299003601},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19494518637657166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09738266468048096},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2024pap0007","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024pap0007","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"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 Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2024pap0007","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024pap0007","pdf_url":null,"source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"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 Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6600000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2009832821","https://openalex.org/W2039122980","https://openalex.org/W2745690522","https://openalex.org/W2885986500","https://openalex.org/W2947438632","https://openalex.org/W2958339331","https://openalex.org/W2970980240","https://openalex.org/W3016094826","https://openalex.org/W3048442213","https://openalex.org/W3128253723","https://openalex.org/W3179067837","https://openalex.org/W4225417080","https://openalex.org/W4281641744","https://openalex.org/W4293023448","https://openalex.org/W4360606529","https://openalex.org/W4387258127"],"related_works":["https://openalex.org/W2392101695","https://openalex.org/W2361943787","https://openalex.org/W2411789204","https://openalex.org/W2271841533","https://openalex.org/W2572756133","https://openalex.org/W1563568831","https://openalex.org/W2135149549","https://openalex.org/W4294358747","https://openalex.org/W1604040598","https://openalex.org/W2946024655"],"abstract_inverted_index":{"Annealing":[0],"machines":[1],"use":[2],"an":[3],"Ising":[4],"model":[5,18],"to":[6,28,53,96],"represent":[7],"combinatorial":[8],"optimization":[9],"problems":[10,129,133],"(COPs)":[11],"and":[12,64,130],"minimize":[13],"the":[14,17,30,38,59,74,98,105,112,145],"energy":[15],"of":[16,33,115,121],"with":[19],"spin-flip":[20],"sequences.":[21],"Pseudo":[22],"temperature":[23,39,92,107,147],"is":[24,40,46,108],"a":[25,50,54,89,119],"key":[26],"hyperparameter":[27],"control":[29,93],"search":[31,60],"performance":[32],"annealing":[34,83,100],"machines.":[35],"In":[36],"general,":[37],"statically":[41],"scheduled":[42],"such":[43],"that":[44,135],"it":[45],"gradually":[47],"decreased":[48],"from":[49],"sufficiently":[51,55],"high":[52,63],"low":[56,65],"values.":[57],"However,":[58],"process":[61],"during":[62],"temperatures":[66],"in":[67,118],"solving":[68],"constrained":[69],"COPs":[70],"does":[71],"not":[72],"improve":[73],"solution":[75,142],"quality":[76,143],"as":[77],"expected,":[78],"which":[79],"requires":[80],"repeated":[81],"preliminary":[82,99],"for":[84,126,150],"pre-tuning.":[85],"This":[86],"paper":[87],"proposes":[88],"flip-count-based":[90],"dynamic":[91],"(FDTC)":[94],"method":[95],"make":[97],"unnecessary.":[101],"FDTC":[102,136],"checks":[103],"whether":[104],"current":[106],"effective":[109],"by":[110],"evaluating":[111],"average":[113],"number":[114],"flipped":[116],"spins":[117],"series":[120],"steps.":[122],"The":[123],"simulation":[124],"results":[125],"traveling":[127],"salesman":[128],"quadratic":[131],"assignment":[132],"demonstrate":[134],"can":[137],"obtain":[138],"comparable":[139],"or":[140],"higher":[141],"than":[144],"static":[146],"scheduling":[148],"pre-tuned":[149],"every":[151],"COP.":[152]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}