{"id":"https://openalex.org/W4411600117","doi":"https://doi.org/10.1109/cec65147.2025.11042913","title":"Adaptive surrogate-assisted evolutionary multi-objective community detection algorithm with core node learning","display_name":"Adaptive surrogate-assisted evolutionary multi-objective community detection algorithm with core node learning","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600117","doi":"https://doi.org/10.1109/cec65147.2025.11042913"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11042913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5082157482","display_name":"Siying Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siying Lv","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009759553","display_name":"Shuwei Zhu","orcid":"https://orcid.org/0000-0001-8402-8446"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwei Zhu","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018503668","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0003-0750-4749"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082157482"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13904797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168487310409546},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6942267417907715},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5339174866676331},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.494382381439209},{"id":"https://openalex.org/keywords/many-core","display_name":"Many core","score":0.45324909687042236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41507017612457275},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3453538417816162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3333207368850708},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.0998682975769043},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0730600357055664},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.061093658208847046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168487310409546},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6942267417907715},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5339174866676331},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.494382381439209},{"id":"https://openalex.org/C3020431745","wikidata":"https://www.wikidata.org/wiki/Q25325220","display_name":"Many core","level":2,"score":0.45324909687042236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41507017612457275},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3453538417816162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3333207368850708},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0998682975769043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0730600357055664},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.061093658208847046},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11042913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334982","display_name":"Basic Research Program of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1579658713","https://openalex.org/W1971421925","https://openalex.org/W1998721869","https://openalex.org/W2038920443","https://openalex.org/W2050953881","https://openalex.org/W2097464974","https://openalex.org/W2120529703","https://openalex.org/W2127048411","https://openalex.org/W2138655982","https://openalex.org/W2171552940","https://openalex.org/W2192203593","https://openalex.org/W2320144048","https://openalex.org/W2743429087","https://openalex.org/W2896014807","https://openalex.org/W2948079051","https://openalex.org/W2984960739","https://openalex.org/W2995451272","https://openalex.org/W3097751134","https://openalex.org/W3126625348","https://openalex.org/W3132700449","https://openalex.org/W3169050434","https://openalex.org/W3170949478","https://openalex.org/W4312524345","https://openalex.org/W4394834675","https://openalex.org/W4394931577","https://openalex.org/W4406679104"],"related_works":["https://openalex.org/W3158538495","https://openalex.org/W2045815042","https://openalex.org/W2092226129","https://openalex.org/W2394430006","https://openalex.org/W1516700698","https://openalex.org/W2384472584","https://openalex.org/W163366574","https://openalex.org/W2105755249","https://openalex.org/W135500268","https://openalex.org/W4391230627"],"abstract_inverted_index":{"Community":[0],"detection":[1,109,195,215],"is":[2,26,115,122,180],"a":[3,34,50,166],"widely":[4,19],"researched":[5],"area":[6],"in":[7,21,49,73,130],"network":[8,149],"science.":[9],"In":[10,62],"recent":[11],"years,":[12],"multi-objective":[13,107],"evolutionary":[14,106],"algorithms":[15],"(MOEAs)":[16],"have":[17],"been":[18],"used":[20,123,163],"community":[22,60,108,194,214],"detection.":[23,61],"Continuous":[24],"coding":[25,41,65,72,172],"able":[27],"to":[28,67,77,124,164],"transform":[29],"the":[30,38,43,57,74,79,87,95,100,103,126,137,140,148,155,170,174,183,189,206],"discrete":[31],"problem":[32],"into":[33,70],"continuous":[35,40,64,171],"one.":[36],"However,":[37],"original":[39],"ignores":[42],"relationship":[44],"between":[45,128,169],"node":[46,113,119,141,156],"structures,":[47],"resulting":[48],"low":[51],"quality":[52],"encoded":[53],"population,":[54],"which":[55,134],"degrades":[56],"performance":[58,210],"of":[59,147,193],"addition,":[63],"needs":[66],"be":[68],"decoded":[69],"label-based":[71],"optimization":[75,184],"process":[76],"compute":[78],"objective":[80,175],"function.":[81,176],"To":[82],"alleviate":[83],"this,":[84],"we":[85],"design":[86],"surrogate":[88,97,167,178],"model":[89,98,168,179],"adaptive":[90,104],"switching":[91],"strategy":[92],"that":[93,205],"selects":[94],"optimal":[96],"for":[99],"task.":[101],"Then,":[102],"surrogate-assisted":[105],"algorithm":[110,207],"with":[111,212],"core":[112,118,145,160],"learning":[114,120],"proposed.":[116],"A":[117],"method":[121],"improve":[125],"connection":[127],"nodes":[129,146,161],"augmented":[131],"sequential":[132],"coding,":[133],"helps":[135],"initialize":[136],"population":[138],"using":[139],"similarity":[142],"matrix.":[143],"The":[144,177],"are":[150,162],"then":[151],"obtained":[152],"based":[153],"on":[154,199],"weights.":[157],"Thereafter,":[158],"these":[159],"construct":[165],"and":[173,191,201],"updated":[181],"during":[182],"process,":[185],"while":[186],"effectively":[187],"improves":[188],"accuracy":[190],"efficiency":[192],"tasks.":[196],"Experimental":[197],"results":[198],"synthetic":[200],"real":[202],"networks":[203],"show":[204],"has":[208],"better":[209],"compared":[211],"seven":[213],"algorithms.":[216]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}