{"id":"https://openalex.org/W3007501866","doi":"https://doi.org/10.1109/ssci44817.2019.9002675","title":"A Bayesian Discrete Optimization Algorithm for Permutation Based Combinatorial Problems","display_name":"A Bayesian Discrete Optimization Algorithm for Permutation Based Combinatorial Problems","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007501866","doi":"https://doi.org/10.1109/ssci44817.2019.9002675","mag":"3007501866"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9002675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5100427575","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0003-3340-8179"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhang","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042684815","display_name":"Xifan Yao","orcid":"https://orcid.org/0000-0002-2712-0411"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xifan Yao","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020060473","display_name":"Min Liu","orcid":"https://orcid.org/0000-0002-4468-5377"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322660","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-3358-1580"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.442,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73976561,"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":"874","last_page":"881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9969000220298767,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9969000220298767,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9962000250816345,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7196590304374695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6207062602043152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47631582617759705},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.47312110662460327},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4663528501987457},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4623023569583893},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.43180203437805176},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36710697412490845},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36395061016082764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26886534690856934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21128582954406738},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14862731099128723},{"id":"https://openalex.org/keywords/symmetric-group","display_name":"Symmetric group","score":0.05891531705856323}],"concepts":[{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7196590304374695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6207062602043152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47631582617759705},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.47312110662460327},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4663528501987457},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4623023569583893},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.43180203437805176},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36710697412490845},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36395061016082764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26886534690856934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21128582954406738},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14862731099128723},{"id":"https://openalex.org/C128622974","wikidata":"https://www.wikidata.org/wiki/Q849512","display_name":"Symmetric group","level":2,"score":0.05891531705856323},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9002675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9002675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W64260873","https://openalex.org/W137285897","https://openalex.org/W1502922572","https://openalex.org/W1508459157","https://openalex.org/W1524392826","https://openalex.org/W1571870753","https://openalex.org/W1794957547","https://openalex.org/W1992597527","https://openalex.org/W2004807582","https://openalex.org/W2014903366","https://openalex.org/W2032602526","https://openalex.org/W2060492127","https://openalex.org/W2070005700","https://openalex.org/W2088361060","https://openalex.org/W2091298095","https://openalex.org/W2144533338","https://openalex.org/W2156391157","https://openalex.org/W2170912685","https://openalex.org/W2192203593","https://openalex.org/W2295710326","https://openalex.org/W2484041879","https://openalex.org/W2571670780","https://openalex.org/W2586846315","https://openalex.org/W2739485916","https://openalex.org/W2783746254","https://openalex.org/W2802235618","https://openalex.org/W2803103814","https://openalex.org/W2893047547","https://openalex.org/W2897022983","https://openalex.org/W2907697752","https://openalex.org/W2914348296","https://openalex.org/W2946315095","https://openalex.org/W2946706930","https://openalex.org/W6605566567","https://openalex.org/W6629804754","https://openalex.org/W6751895363","https://openalex.org/W6759262608","https://openalex.org/W6910664915"],"related_works":["https://openalex.org/W2184131469","https://openalex.org/W4321748008","https://openalex.org/W2797610470","https://openalex.org/W2074196947","https://openalex.org/W1887300513","https://openalex.org/W4312051210","https://openalex.org/W4297729179","https://openalex.org/W2120153268","https://openalex.org/W102744014","https://openalex.org/W1985197322"],"abstract_inverted_index":{"Bayesian":[0,58],"optimization":[1,9,60],"(BO)":[2],"is":[3,62,73,98,106,115],"a":[4,57,90,136],"versatile":[5],"and":[6,85,117],"robust":[7],"global":[8],"method":[10],"under":[11],"uncertainty.":[12],"However,":[13],"most":[14],"of":[15,87],"the":[16,47,83,88,102,120,131],"BO":[17,36],"algorithms":[18],"were":[19],"developed":[20,74],"for":[21,79,124],"problems":[22],"with":[23,119,139],"only":[24],"continuous":[25],"variables.":[26],"For":[27],"practical":[28],"engineering":[29],"optimization,":[30],"discrete":[31,59],"variables":[32],"are":[33],"also":[34,44],"prevalent.":[35],"methods":[37],"based":[38,75,94],"on":[39,76,95],"Gaussian":[40],"process":[41],"(GP)":[42],"surrogates":[43],"suffers":[45],"from":[46],"curse-of-dimensionality":[48],"problem.":[49],"To":[50,81],"address":[51],"these":[52],"challenges,":[53],"in":[54],"this":[55],"paper,":[56],"algorithm":[61,105,114,133],"introduced":[63],"to":[64,108],"solve":[65],"permutation-based":[66],"combinatorial":[67],"problems.":[68],"A":[69],"new":[70,113],"kernel":[71],"function":[72],"position":[77],"distances":[78],"permutation.":[80],"improve":[82],"efficiency":[84],"scalability":[86],"algorithm,":[89],"sparse":[91],"GP":[92],"model":[93],"inducing":[96,110],"points":[97],"further":[99],"developed,":[100],"where":[101],"simulated":[103],"annealing":[104],"applied":[107],"select":[109],"points.":[111],"The":[112],"demonstrated":[116],"tested":[118],"production":[121],"scheduling":[122],"problem":[123],"additive":[125],"manufacturing.":[126],"Experimental":[127],"results":[128],"show":[129],"that":[130],"proposed":[132],"can":[134],"find":[135],"better":[137],"solution":[138],"limited":[140],"evaluations":[141],"than":[142],"state-of-the-art":[143],"algorithms.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
