{"id":"https://openalex.org/W2979723808","doi":"https://doi.org/10.23919/sice.2019.8859833","title":"A Big Data based Approach to Chance Constrained Problems Using Weighted Stratified Sampling and Differential Evolution","display_name":"A Big Data based Approach to Chance Constrained Problems Using Weighted Stratified Sampling and Differential Evolution","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2979723808","doi":"https://doi.org/10.23919/sice.2019.8859833","mag":"2979723808"},"language":"en","primary_location":{"id":"doi:10.23919/sice.2019.8859833","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","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/A5022853937","display_name":"Kiyoharu Tagawa","orcid":"https://orcid.org/0000-0002-3485-1730"},"institutions":[{"id":"https://openalex.org/I916559398","display_name":"Kindai University","ror":"https://ror.org/05kt9ap64","country_code":"JP","type":"education","lineage":["https://openalex.org/I916559398"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kiyoharu Tagawa","raw_affiliation_strings":["School of Science and Engineering, Kindai University, Higashi-Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Kindai University, Higashi-Osaka, Japan","institution_ids":["https://openalex.org/I916559398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022853937"],"corresponding_institution_ids":["https://openalex.org/I916559398"],"apc_list":null,"apc_paid":null,"fwci":0.388,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64764287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1473","last_page":"1478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980999827384949,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.735904335975647},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.660030722618103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194595694541931},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6015995144844055},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5662124752998352},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5635196566581726},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.5566434264183044},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.49695685505867004},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4385851323604584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4059141278266907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29826557636260986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2961350083351135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21169647574424744},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14017021656036377}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.735904335975647},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.660030722618103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194595694541931},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6015995144844055},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5662124752998352},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5635196566581726},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5566434264183044},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.49695685505867004},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4385851323604584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4059141278266907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29826557636260986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2961350083351135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21169647574424744},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14017021656036377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/sice.2019.8859833","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","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":25,"referenced_works":["https://openalex.org/W1519847001","https://openalex.org/W1539652966","https://openalex.org/W1589269155","https://openalex.org/W1599873380","https://openalex.org/W1858422019","https://openalex.org/W1879678483","https://openalex.org/W1914674302","https://openalex.org/W1982141993","https://openalex.org/W2005203016","https://openalex.org/W2038194220","https://openalex.org/W2101555172","https://openalex.org/W2140190241","https://openalex.org/W2155529731","https://openalex.org/W2156194072","https://openalex.org/W2167206918","https://openalex.org/W2476464628","https://openalex.org/W2732453823","https://openalex.org/W2765678215","https://openalex.org/W2798344481","https://openalex.org/W2829148922","https://openalex.org/W2906866178","https://openalex.org/W4251616545","https://openalex.org/W6635262562","https://openalex.org/W6740871584","https://openalex.org/W6744875689"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W2075598034","https://openalex.org/W2048805712"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,36,49],"new":[4,37],"usage":[5],"of":[6,73],"big":[7,23,34],"data":[8],"for":[9],"solving":[10],"optimization":[11,66],"problems":[12],"under":[13],"uncertainties.":[14],"Chance":[15],"Constrained":[16],"Problem":[17],"(CCP)":[18],"is":[19,46,56,68],"formulated":[20],"by":[21],"using":[22],"data.":[24],"In":[25],"order":[26],"to":[27,62],"evaluate":[28],"probabilistic":[29],"constraints":[30],"in":[31],"CCP":[32,77,81],"from":[33],"data,":[35],"stratified":[38],"sampling":[39],"technique":[40],"called":[41,54],"Weighted":[42],"Stratified":[43],"Sampling":[44],"(WSS)":[45],"proposed.":[47],"Then":[48],"group-based":[50],"adaptive":[51],"differential":[52],"evolution":[53],"JADE2G":[55],"combined":[57],"with":[58],"WSS":[59],"and":[60,79],"applied":[61],"CCP.":[63],"The":[64],"proposed":[65],"method":[67],"demonstrated":[69],"through":[70],"two":[71],"types":[72],"CCPs,":[74],"namely":[75],"Joint":[76],"(JCCP)":[78],"Separate":[80],"(SCCP).":[82]},"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"}