{"id":"https://openalex.org/W4386825290","doi":"https://doi.org/10.1109/tetci.2023.3313412","title":"Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization","display_name":"Growing Neural Gas Network for Offspring Generation in Evolutionary Constrained Multi-Objective Optimization","publication_year":2023,"publication_date":"2023-09-18","ids":{"openalex":"https://openalex.org/W4386825290","doi":"https://doi.org/10.1109/tetci.2023.3313412"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2023.3313412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3313412","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5058239253","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-4788-6860"},"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":"Chao Wang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4788-6860","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102783119","display_name":"H. Z. Huang","orcid":"https://orcid.org/0009-0005-3478-0214"},"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":"Huitao Huang","raw_affiliation_strings":["Information Materials and Intelligent Sensing Laboratory of Anhui Province, Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-3478-0214","affiliations":[{"raw_affiliation_string":"Information Materials and Intelligent Sensing Laboratory of Anhui Province, Engineering Research Center of Autonomous Unmanned System Technology, Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","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 Artificial Intelligence, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5052-000X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.7921,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77381347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"576","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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":0.9897000193595886,"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/T10320","display_name":"Neural Networks and Applications","score":0.9631999731063843,"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/computer-science","display_name":"Computer science","score":0.649221658706665},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6406635046005249},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5944103002548218},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5550261735916138},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48109883069992065},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47811856865882874},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47295424342155457},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.458195298910141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44468629360198975},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44193029403686523},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4238266348838806},{"id":"https://openalex.org/keywords/feasible-region","display_name":"Feasible region","score":0.41915982961654663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39878228306770325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16871166229248047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649221658706665},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6406635046005249},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5944103002548218},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5550261735916138},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48109883069992065},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47811856865882874},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47295424342155457},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.458195298910141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44468629360198975},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44193029403686523},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4238266348838806},{"id":"https://openalex.org/C177067428","wikidata":"https://www.wikidata.org/wiki/Q17013331","display_name":"Feasible region","level":2,"score":0.41915982961654663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39878228306770325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16871166229248047},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2023.3313412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2023.3313412","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1587654214","display_name":null,"funder_award_id":"62106002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2757623951","display_name":null,"funder_award_id":"U21A20512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2983347597","display_name":null,"funder_award_id":"1908085MF219","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G3704674076","display_name":null,"funder_award_id":"2008085QF308","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W116978123","https://openalex.org/W225560312","https://openalex.org/W934277334","https://openalex.org/W939691211","https://openalex.org/W1518512320","https://openalex.org/W1522538275","https://openalex.org/W1546604625","https://openalex.org/W1585939719","https://openalex.org/W1595159159","https://openalex.org/W1595498733","https://openalex.org/W1968258027","https://openalex.org/W1987443278","https://openalex.org/W1995972800","https://openalex.org/W2010380051","https://openalex.org/W2013279402","https://openalex.org/W2023059010","https://openalex.org/W2040790879","https://openalex.org/W2041282815","https://openalex.org/W2085507535","https://openalex.org/W2111761631","https://openalex.org/W2112912151","https://openalex.org/W2115167570","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2129380951","https://openalex.org/W2151339633","https://openalex.org/W2153558647","https://openalex.org/W2153654820","https://openalex.org/W2169815801","https://openalex.org/W2310612427","https://openalex.org/W2342632173","https://openalex.org/W2343601797","https://openalex.org/W2419306226","https://openalex.org/W2502455647","https://openalex.org/W2578062050","https://openalex.org/W2582113504","https://openalex.org/W2732762428","https://openalex.org/W2736054868","https://openalex.org/W2764251381","https://openalex.org/W2802427749","https://openalex.org/W2803331670","https://openalex.org/W2885304550","https://openalex.org/W2891186800","https://openalex.org/W2912180855","https://openalex.org/W2914106598","https://openalex.org/W2928502887","https://openalex.org/W2932748297","https://openalex.org/W2953848868","https://openalex.org/W2962947982","https://openalex.org/W2963115819","https://openalex.org/W2963371534","https://openalex.org/W3021941015","https://openalex.org/W3036925570","https://openalex.org/W3045883990","https://openalex.org/W3046601254","https://openalex.org/W3089913216","https://openalex.org/W3105750523","https://openalex.org/W3119755290","https://openalex.org/W3133850968","https://openalex.org/W3134125492","https://openalex.org/W3142367811","https://openalex.org/W3164463895","https://openalex.org/W3167591632","https://openalex.org/W3213379642","https://openalex.org/W3215619686","https://openalex.org/W3217299334","https://openalex.org/W4205328705","https://openalex.org/W4206608859","https://openalex.org/W4206918614","https://openalex.org/W4214818918","https://openalex.org/W4214941022","https://openalex.org/W4224118916","https://openalex.org/W4226028973","https://openalex.org/W4252684946","https://openalex.org/W4320015745","https://openalex.org/W6608886761","https://openalex.org/W6631460888","https://openalex.org/W6635097213","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W2049792449","https://openalex.org/W2022485595","https://openalex.org/W3104770499","https://openalex.org/W4312509357","https://openalex.org/W2954645219","https://openalex.org/W3092127437","https://openalex.org/W2000609527","https://openalex.org/W2363819650"],"abstract_inverted_index":{"When":[0],"using":[1],"evolutionary":[2,67,88],"algorithms":[3,25],"to":[4,81,105,111,131,148],"solve":[5],"constrained":[6,68],"multi-objective":[7,69],"optimization":[8],"problems,":[9],"both":[10,119],"the":[11,16,29,32,38,41,44,53,56,74,83,87,94,100,114,133,136,145,150,156,161,173,176,181],"constraint":[12],"handling":[13],"technique":[14],"and":[15,59,91,121,153],"search":[17,57,89],"operator":[18,58],"play":[19],"a":[20,61],"crucial":[21],"role.":[22],"However,":[23],"existing":[24],"always":[26],"focus":[27],"on":[28,167,180],"former":[30],"for":[31,43,66],"promising":[33,151],"solution":[34,46],"selection":[35],"while":[36],"neglecting":[37],"importance":[39],"of":[40,55,96,108,116,129,175],"latter":[42],"feasible":[45,97,117,120,163,186],"generation.":[47],"In":[48,103],"this":[49],"article,":[50],"we":[51],"emphasize":[52],"role":[54],"propose":[60],"model-driven":[62],"offspring":[63,152],"generation":[64],"method":[65,142],"optimization.":[70],"To":[71],"be":[72],"specific,":[73],"growing":[75],"neural":[76],"gas":[77],"network":[78,134,147],"is":[79],"used":[80],"collect":[82],"feasibility":[84],"information":[85],"during":[86],"process":[90],"gradually":[92],"model":[93],"distribution":[95],"regions":[98],"in":[99,113,135],"decision":[101],"space.":[102],"order":[104],"make":[106,155],"use":[107],"infeasible":[109,122],"solutions":[110,123],"assist":[112],"modeling":[115],"regions,":[118],"are":[124],"taken":[125],"as":[126],"two":[127],"classes":[128],"samples":[130],"train":[132],"supervised":[137],"learning":[138,146],"manner.":[139],"The":[140],"proposed":[141,177],"can":[143],"utilize":[144],"generate":[149],"thus":[154],"population":[157],"converge":[158],"faster":[159],"toward":[160],"optimal":[162],"regions.":[164,187],"Experimental":[165],"results":[166],"three":[168],"public":[169],"test":[170,182],"suites":[171],"demonstrate":[172],"competitiveness":[174],"approach,":[178],"especially":[179],"problems":[183],"with":[184],"complicated":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
