{"id":"https://openalex.org/W4410537493","doi":"https://doi.org/10.1109/kst65016.2025.11003303","title":"Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating","display_name":"Accelerating Surrogate-Assisted Multi-Objective Evolutionary Optimization via a Dynamic Surrogate Model with Archive Updating","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4410537493","doi":"https://doi.org/10.1109/kst65016.2025.11003303"},"language":"en","primary_location":{"id":"doi:10.1109/kst65016.2025.11003303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst65016.2025.11003303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Knowledge and Smart Technology (KST)","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/A5102681203","display_name":"Wang Zi","orcid":"https://orcid.org/0009-0006-7487-0799"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zi Wang","raw_affiliation_strings":["Graduate School of Science and Technology, Niigata University,Niigata-city,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Niigata University,Niigata-city,Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296378","display_name":"Yu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Graduate School of Science and Engineering, University of Toyama,Toyama-city,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, University of Toyama,Toyama-city,Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111214514","display_name":"Yawen Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yawen Zou","raw_affiliation_strings":["Graduate School of Science and Engineering, University of Toyama,Toyama-city,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, University of Toyama,Toyama-city,Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089283853","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-0845-9217"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Faculty of Engineering, University of Toyama,Toyama-city,Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Toyama,Toyama-city,Japan","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012879821","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3953-2229"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]},{"id":"https://openalex.org/I37367598","display_name":"Niigata Institute of Technology","ror":"https://ror.org/03w6mtb84","country_code":"JP","type":"education","lineage":["https://openalex.org/I37367598"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Institute of Science and Technology, Niigata University,Niigata-city,Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology, Niigata University,Niigata-city,Japan","institution_ids":["https://openalex.org/I37367598","https://openalex.org/I71395657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102681203"],"corresponding_institution_ids":["https://openalex.org/I71395657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13849725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9939000010490417,"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":0.9901999831199646,"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/surrogate-model","display_name":"Surrogate model","score":0.8066996335983276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013518214225769},{"id":"https://openalex.org/keywords/surrogate-endpoint","display_name":"Surrogate endpoint","score":0.45301371812820435},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.43791693449020386},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3370579779148102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3297634422779083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19772598147392273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10583791136741638}],"concepts":[{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.8066996335983276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013518214225769},{"id":"https://openalex.org/C141341695","wikidata":"https://www.wikidata.org/wiki/Q2368661","display_name":"Surrogate endpoint","level":2,"score":0.45301371812820435},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43791693449020386},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3370579779148102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3297634422779083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19772598147392273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10583791136741638},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst65016.2025.11003303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst65016.2025.11003303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W152282416","https://openalex.org/W1558919105","https://openalex.org/W2011174137","https://openalex.org/W2013695155","https://openalex.org/W2082228576","https://openalex.org/W2093229042","https://openalex.org/W2094261617","https://openalex.org/W2116789237","https://openalex.org/W2126105956","https://openalex.org/W2317808322","https://openalex.org/W2506705355","https://openalex.org/W2546299924","https://openalex.org/W2772079570","https://openalex.org/W2801550761","https://openalex.org/W2998264770","https://openalex.org/W3082894650","https://openalex.org/W4297582752","https://openalex.org/W4313655778","https://openalex.org/W6608886761","https://openalex.org/W6634954097"],"related_works":["https://openalex.org/W2052913503","https://openalex.org/W2126694299","https://openalex.org/W2397665706","https://openalex.org/W2333199427","https://openalex.org/W4236993757","https://openalex.org/W2058047353","https://openalex.org/W2122194038","https://openalex.org/W4387669868","https://openalex.org/W4293363729","https://openalex.org/W2887328214"],"abstract_inverted_index":{"In":[0,80,104],"surrogate-assisted":[1],"evolutionary":[2,87],"computation,":[3],"a":[4,67,85,100],"common":[5],"method":[6,74],"for":[7,60,66],"constructing":[8],"surrogate":[9,53,64,102,122],"models":[10,119,123],"is":[11,17,42],"the":[12,39,52,62,77,105,109,128,136],"Gaussian":[13],"Process":[14],"(GP),":[15],"which":[16],"widely":[18],"used":[19],"because":[20],"of":[21],"its":[22],"flexibility":[23],"in":[24],"handling":[25],"complex":[26],"objective":[27],"functions.":[28],"However,":[29],"GP":[30],"can":[31,131],"lead":[32],"to":[33,50,75],"an":[34,95],"increased":[35],"computation":[36,129],"time":[37,130],"when":[38,45],"sample":[40],"size":[41],"large":[43],"or":[44],"more":[46],"samples":[47],"are":[48,58],"added":[49],"update":[51],"model.":[54,103],"Furthermore,":[55],"limited":[56],"metrics":[57],"available":[59],"selecting":[61,117],"optimal":[63],"model":[65],"given":[68],"problem,":[69],"necessitating":[70],"experimentation":[71],"with":[72,112],"each":[73],"determine":[76],"best":[78],"choice.":[79],"this":[81],"paper,":[82],"we":[83],"propose":[84],"multi-objective":[86],"algorithm":[88],"that":[89],"addresses":[90],"these":[91],"issues":[92],"by":[93,107],"introducing":[94],"archive":[96,113],"updating":[97,114],"strategy":[98],"and":[99,115],"dynamic":[101],"experiment,":[106],"controlling":[108],"learning":[110],"data":[111],"dynamically":[116],"appropriate":[118],"from":[120],"multiple":[121],"based":[124],"on":[125],"evaluation":[126],"metrics,":[127],"be":[132],"reduced":[133],"without":[134],"compromising":[135],"accuracy.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
