{"id":"https://openalex.org/W2587389158","doi":"https://doi.org/10.1109/smc.2016.7844792","title":"Modified SA-based household reconstruction from statistics for agent-based social simulations","display_name":"Modified SA-based household reconstruction from statistics for agent-based social simulations","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587389158","doi":"https://doi.org/10.1109/smc.2016.7844792","mag":"2587389158"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5084942408","display_name":"Tadahiko Murata","orcid":"https://orcid.org/0000-0002-1654-3945"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiko Murata","raw_affiliation_strings":["Department of Informatics, Kansai University Graduate School, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Kansai University Graduate School, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078113220","display_name":"Takuya Harada","orcid":"https://orcid.org/0000-0003-1021-1111"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Harada","raw_affiliation_strings":["Graduate School of Informatics, Kansai University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073185490","display_name":"Daiki Masui","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daiki Masui","raw_affiliation_strings":["Kansai Daigaku, Suita, Osaka, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai Daigaku, Suita, Osaka, JP","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2384,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89704209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"38","issue":null,"first_page":"003600","last_page":"003605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.645074725151062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6399555802345276},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5762268900871277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5724244713783264},{"id":"https://openalex.org/keywords/summary-statistics","display_name":"Summary statistics","score":0.4171256422996521},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37726348638534546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3235844373703003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2216164469718933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20645952224731445},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.10237759351730347}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.645074725151062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6399555802345276},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5762268900871277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5724244713783264},{"id":"https://openalex.org/C32792767","wikidata":"https://www.wikidata.org/wiki/Q1370484","display_name":"Summary statistics","level":2,"score":0.4171256422996521},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37726348638534546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3235844373703003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2216164469718933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20645952224731445},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.10237759351730347},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc.2016.7844792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"mag:2745175011","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702220539197300","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2024060531","https://openalex.org/W2029420412","https://openalex.org/W2086540926","https://openalex.org/W2104595194","https://openalex.org/W2105138153","https://openalex.org/W2130331607","https://openalex.org/W2140982038","https://openalex.org/W2245823015","https://openalex.org/W2294646483","https://openalex.org/W2515624880","https://openalex.org/W2620937063","https://openalex.org/W2962802607","https://openalex.org/W4253172700","https://openalex.org/W6680848779","https://openalex.org/W6738748147"],"related_works":["https://openalex.org/W2046260256","https://openalex.org/W1969865489","https://openalex.org/W4313323870","https://openalex.org/W4240106746","https://openalex.org/W4230369419","https://openalex.org/W2991725409","https://openalex.org/W2010875215","https://openalex.org/W2954772049","https://openalex.org/W1971018524","https://openalex.org/W3214045955"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,71,151],"modify":[4,121],"a":[5,48,113,130,136],"household":[6,35,49,57,75,124],"reconstruction":[7,125],"method":[8,126],"using":[9,145],"simulated":[10],"annealing":[11],"(SA)":[12],"for":[13,26,80],"micro-simulations":[14],"(MS)":[15],"or":[16,32,41,67,82],"agent-based":[17],"simulations":[18],"(ABS).":[19],"MS":[20,31,81],"and":[21,141,159],"ABS":[22],"are":[23,59,162],"recently":[24],"employed":[25,103],"social":[27],"simulations.":[28,54],"For":[29],"enabling":[30],"ABS,":[33],"each":[34,45],"composition":[36],"such":[37],"as":[38],"ages,":[39],"occupations,":[40],"other":[42],"properties":[43],"of":[44,47,133],"member":[46],"should":[50,86],"be":[51,87,112],"prepared":[52],"before":[53],"However":[55],"real":[56,114,160],"compositions":[58,76],"not":[60],"available":[61,78],"to":[62,65,73,101],"researchers":[63],"due":[64],"privacy":[66],"security":[68],"reasons.":[69],"Therefore,":[70],"need":[72],"reconstruct":[74],"from":[77],"statistics":[79,161],"ABS.":[83],"However,":[84],"it":[85],"noted":[88],"that":[89,98,116],"the":[90,102,107,118,122,156,165],"reconstructed":[91],"population":[92,97,109,115,158],"is":[93,99],"just":[94],"an":[95,142],"artificial":[96,157],"suitable":[100],"statistics.":[104,119,147],"That":[105],"means,":[106],"generated":[108],"cannot":[110],"always":[111],"gives":[117],"We":[120],"SA-based":[123],"in":[127,139],"three":[128],"points:":[129],"generation":[131],"procedure":[132,138,144],"initial":[134],"solution,":[135],"transition":[137],"SA,":[140],"evaluation":[143],"more":[146],"Through":[148],"simulation":[149],"results,":[150],"show":[152],"how":[153],"errors":[154],"between":[155],"reduced":[163],"by":[164],"proposed":[166],"modifications.":[167]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}