{"id":"https://openalex.org/W4385453241","doi":"https://doi.org/10.1109/access.2023.3300590","title":"An Adaptive Two-Population Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems","display_name":"An Adaptive Two-Population Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385453241","doi":"https://doi.org/10.1109/access.2023.3300590"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3300590","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300590","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198251.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017926053","display_name":"Kaiwen Zhao","orcid":"https://orcid.org/0009-0005-2868-8147"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiwen Zhao","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0009-0005-2868-8147","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395969","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-0792-9416"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0002-0792-9416","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072895530","display_name":"Xiangrong Tong","orcid":"https://orcid.org/0000-0003-4855-3723"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Tong","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0003-4855-3723","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017926053"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7726,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75727476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"82118","last_page":"82131"},"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":0.9987999796867371,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9817000031471252,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7047023773193359},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6954925656318665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670966148376465},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6648536324501038},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6397806406021118},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5474170446395874},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49736717343330383},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.46479931473731995},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4529338479042053},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4487442672252655},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4447741210460663},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43023478984832764},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.41513964533805847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27233853936195374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24515420198440552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17898279428482056}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7047023773193359},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6954925656318665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670966148376465},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6648536324501038},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6397806406021118},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5474170446395874},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49736717343330383},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.46479931473731995},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4529338479042053},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4487442672252655},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4447741210460663},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43023478984832764},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.41513964533805847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27233853936195374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24515420198440552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17898279428482056},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3300590","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300590","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c65e804cf62b468d892e38fcd0f99d4b","is_oa":true,"landing_page_url":"https://doaj.org/article/c65e804cf62b468d892e38fcd0f99d4b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 82118-82131 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3300590","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3300590","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10198251.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3638049514","display_name":null,"funder_award_id":"62072392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7240637185","display_name":null,"funder_award_id":"ZR2020QF113","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7264065876","display_name":null,"funder_award_id":"ZR2020QF046","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7880935157","display_name":null,"funder_award_id":"61972360","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385453241.pdf","grobid_xml":"https://content.openalex.org/works/W4385453241.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1522538275","https://openalex.org/W1574490530","https://openalex.org/W1599673523","https://openalex.org/W1879678483","https://openalex.org/W1980750007","https://openalex.org/W2025525377","https://openalex.org/W2056605897","https://openalex.org/W2085507535","https://openalex.org/W2097850690","https://openalex.org/W2102365077","https://openalex.org/W2106334424","https://openalex.org/W2111761631","https://openalex.org/W2112912151","https://openalex.org/W2118004793","https://openalex.org/W2123808725","https://openalex.org/W2139935271","https://openalex.org/W2143585163","https://openalex.org/W2164920121","https://openalex.org/W2193409108","https://openalex.org/W2193611209","https://openalex.org/W2213553820","https://openalex.org/W2582113504","https://openalex.org/W2583230990","https://openalex.org/W2588878409","https://openalex.org/W2802427749","https://openalex.org/W2897153286","https://openalex.org/W2912180855","https://openalex.org/W2914106598","https://openalex.org/W2932748297","https://openalex.org/W2962947982","https://openalex.org/W2963115819","https://openalex.org/W3012133843","https://openalex.org/W3036925570","https://openalex.org/W3042214386","https://openalex.org/W3083646445","https://openalex.org/W3098978449","https://openalex.org/W3119831359","https://openalex.org/W3126639668","https://openalex.org/W3133850968","https://openalex.org/W3134125492","https://openalex.org/W3142821364","https://openalex.org/W3169726339","https://openalex.org/W3176681481","https://openalex.org/W3179292615","https://openalex.org/W4289177063","https://openalex.org/W6608886761","https://openalex.org/W6631460888","https://openalex.org/W6639376729","https://openalex.org/W6674950849","https://openalex.org/W6732808321"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2751605210","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W1588199609"],"abstract_inverted_index":{"Striking":[0],"a":[1,62,94],"balance":[2,69],"between":[3],"objective":[4,56],"optimization":[5,15,57],"and":[6,58,75,99,117,136],"constraint":[7,59,83],"satisfaction":[8],"is":[9,66,86],"essential":[10],"for":[11,107],"solving":[12],"constrained":[13,76],"multi-objective":[14],"problems":[16,135],"(CMOPs).":[17],"Nevertheless,":[18],"most":[19],"existing":[20],"evolutionary":[21,42],"algorithms":[22,130],"face":[23],"significant":[24],"challenges":[25],"on":[26,131],"CMOPs":[27,139],"with":[28,127,145],"intricate":[29],"infeasible":[30,52,115],"regions.":[31],"To":[32],"tackle":[33],"these":[34],"challenges,":[35],"this":[36],"paper":[37],"proposes":[38],"an":[39,81,100],"adaptive":[40,82],"two-population":[41,63],"algorithm,":[43],"named":[44],"ATEA,":[45],"which":[46],"dynamically":[47],"exploits":[48],"promising":[49,95],"information":[50],"under":[51],"solutions":[53],"to":[54,68,88,111],"facilitate":[55],"satisfaction.":[60],"Specifically,":[61],"collaboration":[64],"mechanism":[65],"designed":[67],"the":[70,108,146],"unconstrained":[71],"Pareto":[72,77],"front":[73,78],"search":[74,91],"search.":[79],"Moreover,":[80],"handling":[84],"strategy":[85],"presented":[87],"reasonably":[89],"deploy":[90],"resources.":[92],"Furthermore,":[93],"infeasibility-based":[96],"environmental":[97,103],"selection":[98,104,119],"elitist":[101],"feasibility-based":[102],"are":[105],"developed":[106],"two":[109],"populations":[110],"break":[112],"through":[113],"complex":[114],"barriers":[116],"enhance":[118],"pressure,":[120],"respectively.":[121],"Comparison":[122],"experimental":[123],"results":[124],"of":[125],"ATEA":[126,142],"five":[128],"state-of-the-art":[129],"33":[132],"benchmark":[133],"test":[134],"4":[137],"real-word":[138],"demonstrate":[140],"that":[141],"performs":[143],"competitively":[144],"chosen":[147],"designs.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
