{"id":"https://openalex.org/W4401415204","doi":"https://doi.org/10.1109/cec60901.2024.10612045","title":"Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization","display_name":"Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401415204","doi":"https://doi.org/10.1109/cec60901.2024.10612045"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10612045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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/A5024018042","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3428-1889"},"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":true,"raw_author_name":"Ye Tian","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111284167","display_name":"Lianjie Yao","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":"Lianjie Yao","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707730","display_name":"Shuai Shao","orcid":"https://orcid.org/0000-0001-6628-8551"},"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":"Shuai Shao","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430528","display_name":"Yajie Zhang","orcid":"https://orcid.org/0000-0003-1357-1278"},"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":"Yajie Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056113506","display_name":"Xingyi Zhang","orcid":"https://orcid.org/0000-0001-5203-5916"},"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":["School of Computer Science and Technology, Anhui University,Hefei,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University,Hefei,China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024018042"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":1.8975,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87092564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9977999925613403,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8371673822402954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6951470971107483},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5891472101211548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678790211677551},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4434448480606079},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34917140007019043},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3433369994163513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1080288290977478}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8371673822402954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6951470971107483},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5891472101211548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678790211677551},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4434448480606079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34917140007019043},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3433369994163513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1080288290977478}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10612045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5798278664","display_name":null,"funder_award_id":"62136008,62276001,U21A20512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1258972194","https://openalex.org/W1563965013","https://openalex.org/W2020320008","https://openalex.org/W2022485595","https://openalex.org/W2072661909","https://openalex.org/W2083457599","https://openalex.org/W2091263562","https://openalex.org/W2101473977","https://openalex.org/W2102365077","https://openalex.org/W2125899728","https://openalex.org/W2128357515","https://openalex.org/W2137340504","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2145339207","https://openalex.org/W2151554678","https://openalex.org/W2153654820","https://openalex.org/W2283268937","https://openalex.org/W2411835395","https://openalex.org/W2599937626","https://openalex.org/W2764251381","https://openalex.org/W2897783557","https://openalex.org/W2898741784","https://openalex.org/W2906115061","https://openalex.org/W2948175577","https://openalex.org/W2955804429","https://openalex.org/W2979909004","https://openalex.org/W2985952577","https://openalex.org/W2997377643","https://openalex.org/W2998289593","https://openalex.org/W3008551433","https://openalex.org/W3083328146","https://openalex.org/W3091554564","https://openalex.org/W3109800244","https://openalex.org/W3132655884","https://openalex.org/W3194886076","https://openalex.org/W3201929238","https://openalex.org/W4211006166","https://openalex.org/W4285291536","https://openalex.org/W4292408320","https://openalex.org/W4295745574","https://openalex.org/W4376874665"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W2130703626"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1,25,57],"have":[2],"demonstrated":[3],"superior":[4],"performance":[5],"in":[6],"solving":[7],"multi-objective":[8,55],"optimization":[9],"problems":[10],"(MOPs),":[11],"but":[12],"no":[13],"single":[14],"algorithm":[15],"is":[16],"consistently":[17],"effective":[18,104],"across":[19],"all":[20],"MOPs.":[21],"When":[22],"using":[23],"evolutionary":[24,56],"to":[26,39,85,99],"solve":[27],"MOPs,":[28,53],"environmental":[29,44,64,78],"selection":[30,45,65,79],"strategies":[31,46,91],"determining":[32],"which":[33,81],"solutions":[34],"should":[35],"survive":[36],"are":[37,114],"crucial":[38],"population":[40,93],"evolution.":[41],"While":[42],"different":[43,48,90],"exhibit":[47],"search":[49],"behaviors":[50],"on":[51,60,92,116],"various":[52],"existing":[54],"rarely":[58],"focus":[59],"the":[61,87,102,111,121,128],"adaptation":[62],"of":[63,89,110],"strategies.":[66,105],"To":[67],"fill":[68],"this":[69,71],"gap,":[70],"paper":[72],"proposes":[73],"a":[74],"framework":[75,113,123],"for":[76],"assembling":[77],"strategies,":[80],"utilizes":[82],"neural":[83],"networks":[84],"assess":[86],"effects":[88],"evolution,":[94],"and":[95,108],"employs":[96],"reinforcement":[97],"learning":[98],"adaptively":[100],"select":[101],"most":[103],"The":[106],"effectiveness":[107],"versatility":[109],"proposed":[112,122],"verified":[115],"four":[117],"test":[118],"sets,":[119],"where":[120],"shows":[124],"significant":[125],"superiority":[126],"over":[127],"state-of-the-art.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
