{"id":"https://openalex.org/W3008551433","doi":"https://doi.org/10.1109/ssci44817.2019.9003018","title":"Automated Selection of Evolutionary Multi-objective Optimization Algorithms","display_name":"Automated Selection of Evolutionary Multi-objective Optimization Algorithms","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008551433","doi":"https://doi.org/10.1109/ssci44817.2019.9003018","mag":"3008551433"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003018","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":"conference-paper","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/A5058755242","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3487-5126"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056135507","display_name":"Shichen Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichen Peng","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035862608","display_name":"Tobias Rodemann","orcid":"https://orcid.org/0000-0001-6256-0060"},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Rodemann","raw_affiliation_strings":["Honda Research Institute Europe, Offenbach/Main, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe, Offenbach/Main, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028634381","display_name":"Xingyi Zhang","orcid":"https://orcid.org/0000-0002-5052-000X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyi Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Department of Computer Science, University of Surrey, Guildford, Surrey, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Surrey, Guildford, Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3225","last_page":"3232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9972000122070312,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.8696246147155762},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6971626877784729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6780569553375244},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6261869072914124},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.5554288625717163},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5536643862724304},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5240966081619263},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5144593715667725},{"id":"https://openalex.org/keywords/imperialist-competitive-algorithm","display_name":"Imperialist competitive algorithm","score":0.42341169714927673},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3542299270629883},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3518543839454651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2878221571445465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24740028381347656},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.16724362969398499}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.8696246147155762},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6971626877784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780569553375244},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6261869072914124},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.5554288625717163},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5536643862724304},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5240966081619263},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5144593715667725},{"id":"https://openalex.org/C101219045","wikidata":"https://www.wikidata.org/wiki/Q10859646","display_name":"Imperialist competitive algorithm","level":4,"score":0.42341169714927673},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3542299270629883},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3518543839454651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2878221571445465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24740028381347656},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.16724362969398499},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9003018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003018","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1480428252","https://openalex.org/W1544309315","https://openalex.org/W1553373771","https://openalex.org/W1588375755","https://openalex.org/W1612556207","https://openalex.org/W1662894842","https://openalex.org/W1833634424","https://openalex.org/W1905847227","https://openalex.org/W1967157470","https://openalex.org/W1970424517","https://openalex.org/W2008056655","https://openalex.org/W2020320008","https://openalex.org/W2022485595","https://openalex.org/W2038669746","https://openalex.org/W2071694551","https://openalex.org/W2072661909","https://openalex.org/W2073773747","https://openalex.org/W2085507535","https://openalex.org/W2098907614","https://openalex.org/W2116661285","https://openalex.org/W2123808725","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2137583606","https://openalex.org/W2140066605","https://openalex.org/W2143185749","https://openalex.org/W2143245714","https://openalex.org/W2143381319","https://openalex.org/W2151554678","https://openalex.org/W2283268937","https://openalex.org/W2329749247","https://openalex.org/W2336467679","https://openalex.org/W2343601797","https://openalex.org/W2411835395","https://openalex.org/W2466060750","https://openalex.org/W2468065612","https://openalex.org/W2510493362","https://openalex.org/W2558581367","https://openalex.org/W2567327143","https://openalex.org/W2583230990","https://openalex.org/W2588272390","https://openalex.org/W2729909848","https://openalex.org/W2751605210","https://openalex.org/W2764251381","https://openalex.org/W2766133347","https://openalex.org/W2770581177","https://openalex.org/W2772079570","https://openalex.org/W2802576758","https://openalex.org/W2810440851","https://openalex.org/W2888338796","https://openalex.org/W2891186800","https://openalex.org/W2894825269","https://openalex.org/W2897134312","https://openalex.org/W2897783557","https://openalex.org/W2906115061","https://openalex.org/W2936582589","https://openalex.org/W2946739419","https://openalex.org/W2994964425","https://openalex.org/W4249517230","https://openalex.org/W4285719527","https://openalex.org/W6602526659","https://openalex.org/W6628770400","https://openalex.org/W6636658889","https://openalex.org/W6680838134","https://openalex.org/W6719853592","https://openalex.org/W6743462582","https://openalex.org/W6746025055","https://openalex.org/W6752378494","https://openalex.org/W6754040418","https://openalex.org/W6754246318","https://openalex.org/W6755061822","https://openalex.org/W6758005024","https://openalex.org/W6761423331","https://openalex.org/W6762871575","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W2546939201","https://openalex.org/W2544632397","https://openalex.org/W1892318172","https://openalex.org/W2171662586","https://openalex.org/W4285805405","https://openalex.org/W85101999","https://openalex.org/W1560122427","https://openalex.org/W2102580788","https://openalex.org/W2391924736","https://openalex.org/W2141433557"],"abstract_inverted_index":{"In":[0],"the":[1,30,35,49,59,74,87,104,118,121,124,133,136,139,143,147,153,158,166,171,175],"last":[2],"two":[3],"decades,":[4],"many":[5,52],"evolutionary":[6,27,44,61,90,111,140,154,168,183],"algorithms":[7,112],"have":[8],"shown":[9],"promising":[10],"performance":[11,32,105,145],"in":[12],"solving":[13],"a":[14,42,93,100,107],"variety":[15],"of":[16,106,109,120,129,138,174],"multi-objective":[17],"optimization":[18],"problems":[19],"(MOPs).":[20],"Since":[21,51],"there":[22],"does":[23],"not":[24],"exist":[25],"an":[26,80,130,182],"algorithm":[28,45,62,82,91,141,155,184],"having":[29,142],"best":[31,60,144],"on":[33,103,113,146],"all":[34,48,165],"MOPs,":[36,116],"it":[37],"is":[38,69,135,161],"unreasonable":[39],"to":[40,46,180],"use":[41],"single":[43],"tackle":[47],"MOPs.":[50],"real-world":[53],"MOPs":[54],"are":[55,123],"computationally":[56],"expensive,":[57],"selecting":[58],"from":[63],"multiple":[64,114],"candidates":[65],"via":[66],"empirical":[67],"comparisons":[68],"also":[70],"impractical.":[71],"To":[72],"address":[73],"above":[75],"issues,":[76],"this":[77],"paper":[78],"proposes":[79],"automated":[81],"selection":[83],"method":[84,98,160,177],"for":[85,92,178,185],"choosing":[86],"most":[88],"suitable":[89],"given":[94],"MOP.":[95,148],"The":[96],"proposed":[97,159,176],"establishes":[99],"predictor":[101,122],"based":[102],"set":[108],"candidate":[110,167],"benchmark":[115],"where":[117],"inputs":[119],"explicit":[125],"and":[126,132],"implicit":[127],"features":[128],"MOP,":[131],"output":[134],"index":[137],"Experimental":[149],"results":[150],"indicate":[151],"that":[152],"suggested":[156],"by":[157],"highly":[162],"competitive":[163],"among":[164],"algorithms,":[169],"demonstrating":[170],"practical":[172],"value":[173],"engineers":[179],"select":[181],"their":[186],"applications.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}