{"id":"https://openalex.org/W2090288908","doi":"https://doi.org/10.1109/coase.2014.6899316","title":"An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty","display_name":"An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2090288908","doi":"https://doi.org/10.1109/coase.2014.6899316","mag":"2090288908"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2014.6899316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5102242459","display_name":"Xinchang Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xinchang Hao","raw_affiliation_strings":["Graduate School of Information, Production and Systems, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and Systems, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342036","display_name":"Lin Lin","orcid":"https://orcid.org/0000-0002-1213-0983"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Lin","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071913548","display_name":"Mitsuo Gen","orcid":"https://orcid.org/0000-0002-3670-1357"},"institutions":[{"id":"https://openalex.org/I4210108100","display_name":"Fuzzy Systems Institute","ror":"https://ror.org/01ykj2t23","country_code":"JP","type":"other","lineage":["https://openalex.org/I4210108100"]},{"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":"Mitsuo Gen","raw_affiliation_strings":["Fuzzy Logic Systems Institute, Fukuoka, Japan","Tokyo University of Science, Tokyo, Janan"],"affiliations":[{"raw_affiliation_string":"Fuzzy Logic Systems Institute, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210108100"]},{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Janan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020132059","display_name":"Chen\u2013Fu Chien","orcid":"https://orcid.org/0000-0003-3328-4946"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Fu Chien","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102242459"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":2.4631,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89945519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/regret","display_name":"Regret","score":0.7812646627426147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803885698318481},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6380070447921753},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.5729647874832153},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.561732828617096},{"id":"https://openalex.org/keywords/critical-path-method","display_name":"Critical path method","score":0.5573627948760986},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5518666505813599},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5292828679084778},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48890653252601624},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47109657526016235},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44413670897483826},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4271911382675171},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42130908370018005},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.33980751037597656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23989740014076233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.170601487159729},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10939836502075195},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.08892899751663208}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7812646627426147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803885698318481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6380070447921753},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.5729647874832153},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.561732828617096},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.5573627948760986},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5518666505813599},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5292828679084778},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48890653252601624},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47109657526016235},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44413670897483826},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4271911382675171},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42130908370018005},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.33980751037597656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23989740014076233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.170601487159729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10939836502075195},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.08892899751663208},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2014.6899316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1539964999","https://openalex.org/W1603799529","https://openalex.org/W1985684695","https://openalex.org/W1994252941","https://openalex.org/W2008759288","https://openalex.org/W2032908671","https://openalex.org/W2043932195","https://openalex.org/W2046437335","https://openalex.org/W2064661781","https://openalex.org/W2084961468","https://openalex.org/W2093755218","https://openalex.org/W2133476056","https://openalex.org/W2147507583","https://openalex.org/W2148396026","https://openalex.org/W2155410572","https://openalex.org/W2159985326","https://openalex.org/W2233663212","https://openalex.org/W2414365832","https://openalex.org/W3142965756"],"related_works":["https://openalex.org/W2970347269","https://openalex.org/W4287863949","https://openalex.org/W4287102143","https://openalex.org/W1850488217","https://openalex.org/W2945119207","https://openalex.org/W3182614517","https://openalex.org/W2025157869","https://openalex.org/W2074650926","https://openalex.org/W2031676021","https://openalex.org/W2090045937"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,79],"min-max":[4,66],"regret":[5,67],"version":[6],"programming":[7],"model":[8],"for":[9,96],"the":[10,19,53,76,97],"stochastic":[11],"flexible":[12,106],"job":[13,107],"shop":[14,108],"scheduling":[15],"problem":[16],"(S-FJSP)":[17],"with":[18],"uncertainty":[20],"of":[21,30],"processing":[22],"time.":[23],"An":[24],"effective":[25],"Markov":[26,47],"network":[27,48],"based":[28,69],"estimation":[29],"distribution":[31],"algorithm":[32,71],"(EDA)":[33],"is":[34,72,85],"proposed":[35],"to":[36,39,74,87,102],"solve":[37,103],"S-FJSP":[38],"minimize":[40],"its":[41],"maximum":[42],"regret.":[43],"The":[44],"proposal":[45,98],"employs":[46],"modeling":[49],"machine":[50],"assignment":[51],"where":[52,78],"effects":[54],"between":[55],"decision":[56],"variables":[57],"are":[58],"represented":[59],"as":[60],"an":[61,93],"undirected":[62],"graph":[63],"model.":[64],"Furthermore,":[65],"metric":[68],"assessing":[70],"used":[73],"measure":[75],"robustness,":[77],"critical":[80],"path-based":[81],"local":[82],"search":[83],"method":[84],"adopted":[86],"achieve":[88],"better":[89],"performance.":[90],"We":[91],"present":[92],"empirical":[94],"validation":[95],"by":[99],"applying":[100],"it":[101],"various":[104],"benchmark":[105],"problems.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}