{"id":"https://openalex.org/W4398188110","doi":"https://doi.org/10.1109/access.2024.3403889","title":"Efficient Surrogate Model Assisted Estimation of Distribution Algorithm for Expensive Optimization","display_name":"Efficient Surrogate Model Assisted Estimation of Distribution Algorithm for Expensive Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398188110","doi":"https://doi.org/10.1109/access.2024.3403889"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3403889","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3403889","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10535477.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/ielx7/6287639/6514899/10535477.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102855812","display_name":"J. S. Shang","orcid":"https://orcid.org/0009-0004-9818-0763"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Shang","raw_affiliation_strings":["Control Technology Institute, Wuxi Institute of Technology, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0004-9818-0763","affiliations":[{"raw_affiliation_string":"Control Technology Institute, Wuxi Institute of Technology, Wuxi, China","institution_ids":["https://openalex.org/I77631543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101792471","display_name":"Guiying Li","orcid":"https://orcid.org/0000-0003-1102-0763"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiying Li","raw_affiliation_strings":["School of Mechanical &#x0026; Electrical Engineering, Heilongjiang University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1102-0763","affiliations":[{"raw_affiliation_string":"School of Mechanical &#x0026; Electrical Engineering, Heilongjiang University, Harbin, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113325587","display_name":"Hao Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Hao","raw_affiliation_strings":["Institute of Natural Science, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8692-6255","affiliations":[{"raw_affiliation_string":"Institute of Natural Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yufang Zhang","orcid":"https://orcid.org/0009-0001-5983-6430"},"institutions":[{"id":"https://openalex.org/I77631543","display_name":"Wuxi Institute of Technology","ror":"https://ror.org/00ab95029","country_code":"CN","type":"education","lineage":["https://openalex.org/I77631543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufang Zhang","raw_affiliation_strings":["Control Technology Institute, Wuxi Institute of Technology, Wuxi, China"],"raw_orcid":"https://orcid.org/0009-0001-5983-6430","affiliations":[{"raw_affiliation_string":"Control Technology Institute, Wuxi Institute of Technology, Wuxi, China","institution_ids":["https://openalex.org/I77631543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07222124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"78248","last_page":"78260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9320999979972839,"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/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.6900975108146667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6853184103965759},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.49503272771835327},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4911362826824188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48479264974594116},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4477251172065735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18978095054626465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1697043776512146}],"concepts":[{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.6900975108146667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853184103965759},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.49503272771835327},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4911362826824188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48479264974594116},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4477251172065735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18978095054626465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1697043776512146},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3403889","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3403889","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10535477.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:d7f5dabc73e043bdb9acb8bae28ad4da","is_oa":true,"landing_page_url":"https://doaj.org/article/d7f5dabc73e043bdb9acb8bae28ad4da","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 12, Pp 78248-78260 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3403889","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3403889","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10535477.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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398188110.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1504812409","https://openalex.org/W1548010335","https://openalex.org/W1589195638","https://openalex.org/W1974758710","https://openalex.org/W1997600725","https://openalex.org/W2000503034","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2015772998","https://openalex.org/W2021429475","https://openalex.org/W2038669746","https://openalex.org/W2048922416","https://openalex.org/W2082228576","https://openalex.org/W2112036188","https://openalex.org/W2132975661","https://openalex.org/W2141467859","https://openalex.org/W2497309206","https://openalex.org/W2499292135","https://openalex.org/W2502655619","https://openalex.org/W2591927365","https://openalex.org/W2764251381","https://openalex.org/W2785722638","https://openalex.org/W2895700336","https://openalex.org/W2905218622","https://openalex.org/W2921739511","https://openalex.org/W2954532028","https://openalex.org/W2954826798","https://openalex.org/W3006649997","https://openalex.org/W3011722059","https://openalex.org/W3015263729","https://openalex.org/W3113095334","https://openalex.org/W3121256045","https://openalex.org/W3135345850","https://openalex.org/W3159630495","https://openalex.org/W3189216291","https://openalex.org/W3211641400","https://openalex.org/W4294811533","https://openalex.org/W4379382582","https://openalex.org/W4386751460","https://openalex.org/W4388197393","https://openalex.org/W4389475322","https://openalex.org/W6765435108"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2392913753","https://openalex.org/W2073681303","https://openalex.org/W2096498780","https://openalex.org/W1982259447","https://openalex.org/W2496664933","https://openalex.org/W1503012231","https://openalex.org/W2390168659","https://openalex.org/W2115004052","https://openalex.org/W2375785848"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"several":[3,178],"surrogate":[4,31,112,128],"assisted":[5],"evolutionary":[6],"algorithms":[7,182,200],"(SAEAs)":[8],"have":[9],"been":[10],"proposed":[11,172,195],"to":[12,33,55,82,89,138,162],"solve":[13],"expensive":[14],"optimization":[15,186],"problems.":[16,102],"These":[17],"problems":[18],"lack":[19],"explicit":[20],"expressions":[21],"and":[22,40,58,130,142,183],"are":[23,51],"characterized":[24],"by":[25],"high":[26],"invocation":[27],"costs.":[28],"SAEAs":[29],"leverage":[30],"models":[32],"accelerate":[34],"convergence":[35],"towards":[36],"the":[37,42,90,105,116,140,152,168,171,184,191,194],"optimal":[38],"region":[39],"reduce":[41],"number":[43,73,91],"of":[44,60,74,92,115,144,170,193],"function":[45],"evaluations.":[46],"While":[47],"Gaussian":[48],"Processes":[49],"(GPs)":[50],"widely":[52],"used":[53,161],"due":[54,81],"their":[56,64,83],"robustness":[57],"capability":[59],"providing":[61],"uncertainty":[62],"estimates,":[63],"applicability":[65],"becomes":[66],"limited":[67],"in":[68,87,96],"scenarios":[69],"involving":[70],"a":[71,123,127,134],"large":[72],"samples":[75],"or":[76],"high-dimensional":[77],"spaces.":[78],"This":[79,120],"is":[80,160],"cubic":[84],"time":[85],"complexity":[86],"relation":[88],"samples,":[93],"which":[94],"results":[95,189],"prohibitive":[97],"computational":[98],"demands":[99],"for":[100,201],"large-scale":[101],"To":[103,166],"address":[104],"challenge,":[106],"this":[107],"work":[108],"presents":[109],"an":[110],"efficient":[111],"model-assisted":[113,145],"estimation":[114],"distribution":[117],"algorithm":[118,196],"(ESAEDA).":[119],"method":[121],"employs":[122],"random":[124],"forest":[125],"as":[126],"model":[129,150,155],"combines":[131],"it":[132],"with":[133,156,177],"GP-hedge":[135],"acquisition":[136],"strategy":[137],"ensure":[139],"efficiency":[141],"accuracy":[143],"selection.":[146],"An":[147],"improved":[148],"EDA":[149],"called":[151],"variable-width":[153],"histogram":[154],"some":[157],"unevaluated":[158],"solutions":[159],"generate":[163],"new":[164],"solutions.":[165],"demonstrate":[167,190],"benefits":[169],"method,":[173],"we":[174],"compared":[175],"ESAEDA":[176],"state-of-the-art":[179],"surrogate-assisted":[180],"evaluation":[181],"Bayesian":[185],"method.":[187],"Experimental":[188],"superiority":[192],"over":[197],"these":[198],"comparison":[199],"two":[202],"well-known":[203],"test":[204],"suites.":[205]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
