{"id":"https://openalex.org/W7162009125","doi":"https://doi.org/10.1093/jcde/qwag051","title":"Machine learning-guided population initialization for high-dimensional structural optimization of very large crude oil carriers","display_name":"Machine learning-guided population initialization for high-dimensional structural optimization of very large crude oil carriers","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7162009125","doi":"https://doi.org/10.1093/jcde/qwag051"},"language":"en","primary_location":{"id":"doi:10.1093/jcde/qwag051","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag051","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1093/jcde/qwag051","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136621361","display_name":"Choongki Kim","orcid":"https://orcid.org/0009-0002-4653-0472"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]},{"id":"https://openalex.org/I186506485","display_name":"Hyundai Heavy Industries (South Korea)","ror":"https://ror.org/0433haa75","country_code":"KR","type":"company","lineage":["https://openalex.org/I186506485"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choongki Kim","raw_affiliation_strings":["HD Hyundai Heavy Industries Co., Ltd Basic Hull Design Department, , Gyeonggi-do 13553 ,","School of Mechanical Engineering, Korea University , Seoul 02841 ,"],"raw_orcid":"https://orcid.org/0009-0002-4653-0472","affiliations":[{"raw_affiliation_string":"HD Hyundai Heavy Industries Co., Ltd Basic Hull Design Department, , Gyeonggi-do 13553 ,","institution_ids":["https://openalex.org/I186506485"]},{"raw_affiliation_string":"School of Mechanical Engineering, Korea University , Seoul 02841 ,","institution_ids":["https://openalex.org/I124633538","https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056662128","display_name":"M. Y. Choi","orcid":"https://orcid.org/0000-0001-8070-7716"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210111753","display_name":"Korea Innotech (South Korea)","ror":"https://ror.org/01j9g7106","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210111753"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minwook Choi","raw_affiliation_strings":["Future Technology Research Center, LG Innotek Co. Ltd , Seoul 07796 ,","School of Mechanical Engineering, Korea University , Seoul 02841 ,"],"raw_orcid":"https://orcid.org/0000-0002-7466-1587","affiliations":[{"raw_affiliation_string":"Future Technology Research Center, LG Innotek Co. Ltd , Seoul 07796 ,","institution_ids":["https://openalex.org/I4210111753"]},{"raw_affiliation_string":"School of Mechanical Engineering, Korea University , Seoul 02841 ,","institution_ids":["https://openalex.org/I124633538","https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113340674","display_name":"Gunwoo Noh","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gunwoo Noh","raw_affiliation_strings":["School of Mechanical Engineering, Korea University , Seoul 02841 ,"],"raw_orcid":"https://orcid.org/0000-0003-4817-7932","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Korea University , Seoul 02841 ,","institution_ids":["https://openalex.org/I124633538","https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65884722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"6","first_page":"123","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.2734000086784363,"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":0.2734000086784363,"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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.20090000331401825,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.17800000309944153,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.9325000047683716},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6168000102043152},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.588100016117096},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4706000089645386},{"id":"https://openalex.org/keywords/crude-oil","display_name":"Crude oil","score":0.4323999881744385},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.40560001134872437},{"id":"https://openalex.org/keywords/optimal-design","display_name":"Optimal design","score":0.37400001287460327}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.9325000047683716},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6486999988555908},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4706000089645386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4494999945163727},{"id":"https://openalex.org/C2987168347","wikidata":"https://www.wikidata.org/wiki/Q22656","display_name":"Crude oil","level":2,"score":0.4323999881744385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4122999906539917},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2939000129699707},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C110850998","wikidata":"https://www.wikidata.org/wiki/Q5377895","display_name":"Engineering optimization","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C109578324","wikidata":"https://www.wikidata.org/wiki/Q3354463","display_name":"Random optimization","level":5,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jcde/qwag051","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag051","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1093/jcde/qwag051","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwag051","pdf_url":null,"source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7671732193","display_name":null,"funder_award_id":"RS-2026-25498982","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W750347774","https://openalex.org/W1973449924","https://openalex.org/W1999200218","https://openalex.org/W2056050857","https://openalex.org/W2068696225","https://openalex.org/W2097424370","https://openalex.org/W2146194550","https://openalex.org/W2331111329","https://openalex.org/W2556522401","https://openalex.org/W2911964244","https://openalex.org/W2913003339","https://openalex.org/W4206580057","https://openalex.org/W4226022501","https://openalex.org/W4285091749","https://openalex.org/W4383483911","https://openalex.org/W4390562173","https://openalex.org/W4395013774","https://openalex.org/W4403409541","https://openalex.org/W4405382858"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"presents":[3],"a":[4,10,57,91],"two-step":[5],"optimization":[6,18,93],"framework":[7,30,87],"that":[8,104],"combines":[9],"machine":[11],"learning":[12],"(ML)-based":[13],"prediction":[14,54],"model":[15,55,70],"with":[16],"metaheuristic":[17,66],"for":[19,132,143],"the":[20,34,40,49,86,137],"structural":[21,42,147],"design":[22,81,99,134],"of":[23,85],"very":[24],"large":[25],"crude":[26],"oil":[27],"carriers.":[28],"The":[29,68,83,125],"aims":[31],"to":[32,112],"minimize":[33],"midship":[35],"cross-sectional":[36],"area":[37],"while":[38],"satisfying":[39],"common":[41],"rules":[43],"and":[44,122],"associated":[45],"strength":[46],"constraints.":[47],"In":[48],"proposed":[50,126],"approach,":[51],"an":[52],"ML-based":[53,116],"generates":[56],"well-informed":[58],"initial":[59],"population,":[60],"which":[61],"is":[62,71,88],"subsequently":[63],"refined":[64],"through":[65,90],"optimization.":[67],"ML":[69],"trained":[72],"using":[73],"20":[74],"000":[75],"datasets":[76],"derived":[77],"from":[78],"accumulated":[79],"engineering":[80],"records.":[82],"effectiveness":[84],"demonstrated":[89],"high-dimensional":[92],"problem":[94],"involving":[95],"more":[96],"than":[97],"200":[98],"variables.":[100],"Numerical":[101],"results":[102],"show":[103],"conventional":[105],"random":[106],"or":[107],"uniform":[108],"initialization":[109,117],"often":[110],"leads":[111],"poor":[113],"convergence,":[114],"whereas":[115],"significantly":[118],"improves":[119],"convergence":[120],"behavior":[121],"computational":[123],"efficiency.":[124],"method":[127],"also":[128],"exhibits":[129],"robust":[130],"performance":[131],"extrapolated":[133],"cases":[135],"beyond":[136],"training":[138],"data,":[139],"indicating":[140],"its":[141],"potential":[142],"practical":[144],"large-scale":[145],"ship":[146],"design.":[148]},"counts_by_year":[],"updated_date":"2026-06-24T06:17:17.354583","created_date":"2026-05-22T00:00:00"}
