{"id":"https://openalex.org/W4411600599","doi":"https://doi.org/10.1109/cec65147.2025.11042915","title":"An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models","display_name":"An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600599","doi":"https://doi.org/10.1109/cec65147.2025.11042915"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11042915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042915","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/A5101656381","display_name":"Trung-Hieu Dang","orcid":"https://orcid.org/0000-0003-4059-3990"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tingting Dang","raw_affiliation_strings":["Hebei University of Technology,School of Artificial Intelligence,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Hebei University of Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036552463","display_name":"Wenxuan Fang","orcid":"https://orcid.org/0009-0001-0720-5194"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Fang","raw_affiliation_strings":["Westlake University,College of Engineering,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Westlake University,College of Engineering,Hangzhou,China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981360","display_name":"Jiaqiang Li","orcid":"https://orcid.org/0000-0001-9459-2323"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqiang Li","raw_affiliation_strings":["East China University of Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042399424","display_name":"Qiqi Liu","orcid":"https://orcid.org/0000-0003-1587-5515"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Liu","raw_affiliation_strings":["Westlake University,Westlake Institute for Advanced Study,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Westlake University,Westlake Institute for Advanced Study,Hangzhou,China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109440399","display_name":"Junhua Gu","orcid":"https://orcid.org/0009-0003-0982-417X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Gu","raw_affiliation_strings":["Hebei University of Technology,School of Artificial Intelligence,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Hebei University of Technology,School of Artificial Intelligence,Tianjin,China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Westlake University,Department of Artificial Intelligence,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Westlake University,Department of Artificial Intelligence,Hangzhou,China","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101656381"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18578061,"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":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9350000023841858,"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":0.9350000023841858,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.755031943321228},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5744824409484863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691580176353455},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4922873079776764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4680105447769165},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4413922429084778},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.43088388442993164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38937920331954956},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3347775936126709},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2732101082801819},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07389062643051147}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.755031943321228},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5744824409484863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691580176353455},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4922873079776764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4680105447769165},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4413922429084778},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.43088388442993164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38937920331954956},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3347775936126709},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2732101082801819},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07389062643051147},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11042915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042915","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1544309315","https://openalex.org/W1967157470","https://openalex.org/W1971537182","https://openalex.org/W2112912151","https://openalex.org/W2126105956","https://openalex.org/W2150046657","https://openalex.org/W2156194072","https://openalex.org/W2329749247","https://openalex.org/W2510493362","https://openalex.org/W2513770613","https://openalex.org/W2588764485","https://openalex.org/W2605088800","https://openalex.org/W2616257225","https://openalex.org/W2764251381","https://openalex.org/W2810207057","https://openalex.org/W2832779309","https://openalex.org/W2897208679","https://openalex.org/W2914542742","https://openalex.org/W2939441004","https://openalex.org/W2996097017","https://openalex.org/W3002387451","https://openalex.org/W3012911890","https://openalex.org/W3021941015","https://openalex.org/W3096831136","https://openalex.org/W3203245557","https://openalex.org/W4214818918","https://openalex.org/W4283383265","https://openalex.org/W4392940210","https://openalex.org/W4401417456"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928"],"abstract_inverted_index":{"As":[0],"the":[1,4,12,21,41,74,108,111,117,123,132,149,173],"dimensionality":[2],"of":[3,24,110,125],"decision":[5,13,43],"space":[6,14],"in":[7,29,40,70],"multi-objective":[8,26,31,64,168,180],"optimization":[9,32],"problems":[10],"increases,":[11],"expands":[15],"exponentially,":[16],"presenting":[17],"significant":[18],"challenges":[19],"to":[20,53,119,138,160],"search":[22,38],"efficiency":[23],"traditional":[25],"evolutionary":[27,65,133,181],"algorithms":[28],"large-scale":[30,63,167,179],"problems.":[33],"To":[34],"quickly":[35],"locate":[36],"promising":[37,55],"regions":[39],"vast":[42],"space,":[44],"this":[45],"paper":[46],"proposes":[47],"utilizing":[48],"denoising":[49],"diffusion":[50],"probabilistic":[51],"models":[52],"generate":[54],"solutions,":[56,82],"based":[57],"on":[58,166],"which":[59,156],"a":[60],"novel":[61],"elite-guided":[62],"algorithm":[66,175],"is":[67,76,144],"introduced.":[68],"Specifically,":[69],"our":[71],"proposed":[72,174],"method,":[73],"population":[75,143],"divided":[77],"into":[78],"elite":[79,90,93,126,139],"and":[80,99,148],"poor":[81,85,102,136],"with":[83,88],"each":[84],"solution":[86],"paired":[87,101],"an":[89],"solution.":[91],"The":[92,141],"solutions":[94,103,127,137],"serve":[95],"as":[96,105,146],"generation":[97],"targets,":[98],"their":[100],"act":[104],"conditions":[106],"during":[107],"training":[109],"generative":[112,151],"model.":[113],"Our":[114],"approach":[115],"allows":[116],"model":[118,131,152],"not":[120],"only":[121],"capture":[122],"distribution":[124],"but":[128],"also":[129],"effectively":[130],"trajectory":[134],"from":[135],"solutions.":[140,163],"entire":[142],"used":[145],"conditions,":[147],"trained":[150],"generates":[153],"ideal":[154],"positions,":[155],"are":[157],"then":[158],"updated":[159],"produce":[161],"offspring":[162],"Experimental":[164],"results":[165],"benchmark":[169],"functions":[170],"demonstrate":[171],"that":[172],"outperforms":[176],"four":[177],"state-of-the-art":[178],"algorithms.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
