{"id":"https://openalex.org/W4313291093","doi":"https://doi.org/10.1109/tevc.2022.3232776","title":"Learning-Aided Evolution for Optimization","display_name":"Learning-Aided Evolution for Optimization","publication_year":2022,"publication_date":"2022-12-29","ids":{"openalex":"https://openalex.org/W4313291093","doi":"https://doi.org/10.1109/tevc.2022.3232776"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2022.3232776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3232776","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/4358751/10002945.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/4235/4358751/10002945.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"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":"Zhi-Hui Zhan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0862-0514","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632977","display_name":"Jian-Yu Li","orcid":"https://orcid.org/0000-0002-6143-9207"},"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":"Jian-Yu Li","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6143-9207","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4148-4294"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]},{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Zhejiang Normal University, Jinhua, China","Hanyang University, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4148-4294","affiliations":[{"raw_affiliation_string":"Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"Hanyang University, Ansan, South Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.9265,"has_fulltext":true,"cited_by_count":144,"citation_normalized_percentile":{"value":0.99389364,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"6","first_page":"1794","last_page":"1808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.5745139122009277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49223247170448303},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.47805434465408325},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32649117708206177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23367613554000854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5745139122009277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49223247170448303},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.47805434465408325},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32649117708206177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23367613554000854}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tevc.2022.3232776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3232776","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/4358751/10002945.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/c566db76-16c4-4d66-9e47-456b7c2b9699","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/c566db76-16c4-4d66-9e47-456b7c2b9699","pdf_url":"https://scholars.cityu.edu.hk/files/178247345/132905616.pdf","source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhan, Z-H, Li, J-Y, Kwong, S & Zhang, J 2023, 'Learning-aided Evolution for Optimization', IEEE Transactions on Evolutionary Computation, vol. 27, no. 6, pp. 1794-1808. https://doi.org/10.1109/TEVC.2022.3232776","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tevc.2022.3232776","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3232776","pdf_url":"https://ieeexplore.ieee.org/ielx7/4235/4358751/10002945.pdf","source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2667571635","display_name":null,"funder_award_id":"11209819","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G2967735535","display_name":null,"funder_award_id":"9042598","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G3331203778","display_name":null,"funder_award_id":"2018B030312003","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3517531612","display_name":null,"funder_award_id":"NRF-2022H1D3A2A01093478","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3840873353","display_name":null,"funder_award_id":"9042816","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G4099885540","display_name":null,"funder_award_id":"62176094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7702434721","display_name":null,"funder_award_id":"2022H1D3A2A01093478","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321920","display_name":"Innovation and Technology Commission","ror":"https://ror.org/04vf9tr09"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313291093.pdf","grobid_xml":"https://content.openalex.org/works/W4313291093.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1659842140","https://openalex.org/W1846834309","https://openalex.org/W2079881116","https://openalex.org/W2126105956","https://openalex.org/W2137983211","https://openalex.org/W2138537392","https://openalex.org/W2143381319","https://openalex.org/W2150295936","https://openalex.org/W2152195021","https://openalex.org/W2343601797","https://openalex.org/W2489159973","https://openalex.org/W2594575977","https://openalex.org/W2774833978","https://openalex.org/W2800879376","https://openalex.org/W2919115771","https://openalex.org/W2944345944","https://openalex.org/W2953444249","https://openalex.org/W2963418938","https://openalex.org/W2964121818","https://openalex.org/W2977620944","https://openalex.org/W2979736100","https://openalex.org/W2981943969","https://openalex.org/W2990472746","https://openalex.org/W2995028507","https://openalex.org/W3012446350","https://openalex.org/W3048904406","https://openalex.org/W3085063431","https://openalex.org/W3091083611","https://openalex.org/W3092589772","https://openalex.org/W3097804851","https://openalex.org/W3103320289","https://openalex.org/W3124449569","https://openalex.org/W3128260458","https://openalex.org/W3131446869","https://openalex.org/W3135580596","https://openalex.org/W3138622452","https://openalex.org/W3138639222","https://openalex.org/W3159390405","https://openalex.org/W3161570989","https://openalex.org/W3184980526","https://openalex.org/W3190568003","https://openalex.org/W3191194514","https://openalex.org/W3192856315","https://openalex.org/W3195354597","https://openalex.org/W3199183478","https://openalex.org/W3201193708","https://openalex.org/W3201973298","https://openalex.org/W3208560513","https://openalex.org/W3216331645","https://openalex.org/W4200185120","https://openalex.org/W4212939178","https://openalex.org/W4213279801","https://openalex.org/W4220692473","https://openalex.org/W4220756809","https://openalex.org/W4220782488","https://openalex.org/W4223432987","https://openalex.org/W4226090570","https://openalex.org/W4226133142","https://openalex.org/W4226213489","https://openalex.org/W4226311111","https://openalex.org/W4281752026","https://openalex.org/W4282934797","https://openalex.org/W4285244731","https://openalex.org/W4285297595","https://openalex.org/W4292083457","https://openalex.org/W4296079205","https://openalex.org/W4299627282","https://openalex.org/W4312402790","https://openalex.org/W4313056691"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Learning":[0],"and":[1,27,36,55,62,106,143,182,231,246],"optimization":[2,38,63,100,110,131,185,241],"are":[3,64],"the":[4,33,37,117,124,155,168,173,199,205,209,212,223],"two":[5,48,77],"essential":[6,49],"abilities":[7,78],"of":[8,127,208],"human":[9],"beings":[10],"for":[11,40,68,108,195,216,235],"problem":[12,69,196],"solving.":[13,70,197],"Similarly,":[14],"computer":[15,56],"scientists":[16],"have":[17,46,202],"made":[18],"great":[19],"efforts":[20],"to":[21,31,73,80,129,138,177,228,238],"design":[22],"artificial":[23,52],"neural":[24],"network":[25],"(ANN)":[26],"evolutionary":[28,99],"computation":[29],"(EC)":[30],"simulate":[32],"learning":[34,61,105,189,245],"ability":[35,39],"solving":[41,109],"real-world":[42],"problems,":[43,186],"respectively.":[44],"These":[45],"been":[47],"branches":[50],"in":[51,59],"intelligence":[53],"(AI)":[54],"science.":[57],"However,":[58],"humans,":[60],"usually":[65],"integrated":[66,115],"together":[67,79],"Therefore,":[71,222],"how":[72],"efficiently":[74],"integrate":[75],"these":[76],"develop":[81],"powerful":[82],"AI":[83],"remains":[84],"a":[85,96,149,229],"significant":[86],"but":[87],"challenging":[88],"issue.":[89],"Motivated":[90],"by":[91,121,243],"this,":[92],"this":[93],"paper":[94],"proposes":[95],"novel":[97],"learning-aided":[98],"(LEO)":[101],"framework":[102,135],"that":[103,167,188],"plus":[104,190,244],"evolution":[107,118,125,191],"problems.":[111],"The":[112,133,163],"LEO":[113,134,169,218,225],"is":[114,136,192,219],"with":[116,152],"knowledge":[119],"learned":[120],"ANN":[122],"from":[123],"process":[126],"EC":[128,141,146,175,236],"promote":[130],"efficiency.":[132],"applied":[137],"both":[139,180],"classical":[140],"algorithms":[142,147,176,237],"some":[144],"state-of-the-art":[145],"including":[148],"champion":[150],"algorithm,":[151],"benchmarking":[153],"against":[154],"IEEE":[156],"Congress":[157],"on":[158],"Evolutionary":[159],"Computation":[160],"competition":[161],"data.":[162],"experimental":[164,200],"results":[165,201],"show":[166],"can":[170,226],"significantly":[171],"enhance":[172],"existing":[174],"better":[178],"solve":[179,239],"single-objective":[181],"multi-/many-objective":[183],"global":[184,240],"suggesting":[187],"more":[193,232],"intelligent":[194],"Moreover,":[198],"also":[203],"validated":[204],"time":[206,214],"efficiency":[207],"LEO,":[210],"where":[211],"additional":[213],"cost":[215],"using":[217],"greatly":[220],"deserved.":[221],"promising":[224],"lead":[227],"new":[230],"efficient":[233],"paradigm":[234],"problems":[242],"evolution.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":57},{"year":2023,"cited_by_count":23}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
