{"id":"https://openalex.org/W1513939580","doi":"https://doi.org/10.1109/cec.2005.1554985","title":"Data Mining for Multidisciplinary Design Space of Regional-Jet Wing","display_name":"Data Mining for Multidisciplinary Design Space of Regional-Jet Wing","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1513939580","doi":"https://doi.org/10.1109/cec.2005.1554985","mag":"1513939580"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5030991147","display_name":"Kazuhisa Chiba","orcid":"https://orcid.org/0000-0002-7034-2159"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Chiba","raw_affiliation_strings":["Institute of Space Technology and Aeronautics, Japan Aerospace Exploration Agency, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Space Technology and Aeronautics, Japan Aerospace Exploration Agency, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000209","display_name":"Shinkyu Jeong","orcid":"https://orcid.org/0000-0002-8929-4820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shinkyu Jeong","raw_affiliation_strings":["Shinkyu Jeong, Shigeru Obayashi, Institute of Fluid Science, University of Tohoku, Japan"],"affiliations":[{"raw_affiliation_string":"Shinkyu Jeong, Shigeru Obayashi, Institute of Fluid Science, University of Tohoku, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009004761","display_name":"Shigeru Obayashi","orcid":"https://orcid.org/0000-0003-3876-1908"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Obayashi","raw_affiliation_strings":["Shinkyu Jeong, Shigeru Obayashi, Institute of Fluid Science, University of Tohoku, Japan"],"affiliations":[{"raw_affiliation_string":"Shinkyu Jeong, Shigeru Obayashi, Institute of Fluid Science, University of Tohoku, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025344630","display_name":"Hiroyuki Morino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117815","display_name":"Mitsubishi Heavy Industries (Japan)","ror":"https://ror.org/02aq67p44","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210117815"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Morino","raw_affiliation_strings":["Nagoya Aerospace Systems, Mitsubishi Heavy Industries Limited, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Aerospace Systems, Mitsubishi Heavy Industries Limited, Japan","institution_ids":["https://openalex.org/I4210117815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030991147"],"corresponding_institution_ids":["https://openalex.org/I2800865746"],"apc_list":null,"apc_paid":null,"fwci":1.7568,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82863308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"2333","last_page":"2340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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/T11524","display_name":"Advanced Aircraft Design and Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/multidisciplinary-design-optimization","display_name":"Multidisciplinary design optimization","score":0.9056947827339172},{"id":"https://openalex.org/keywords/aerodynamics","display_name":"Aerodynamics","score":0.6669568419456482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566330790519714},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5869961977005005},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.5821688771247864},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5773534178733826},{"id":"https://openalex.org/keywords/wing","display_name":"Wing","score":0.5124159455299377},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4872790575027466},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46414485573768616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4623279571533203},{"id":"https://openalex.org/keywords/aeroelasticity","display_name":"Aeroelasticity","score":0.4329458475112915},{"id":"https://openalex.org/keywords/design-knowledge","display_name":"Design knowledge","score":0.4177970290184021},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4105183184146881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3309852182865143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3007535934448242},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1853034794330597},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1790502369403839}],"concepts":[{"id":"https://openalex.org/C28442783","wikidata":"https://www.wikidata.org/wiki/Q3354474","display_name":"Multidisciplinary design optimization","level":3,"score":0.9056947827339172},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.6669568419456482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566330790519714},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5869961977005005},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.5821688771247864},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5773534178733826},{"id":"https://openalex.org/C97257150","wikidata":"https://www.wikidata.org/wiki/Q161358","display_name":"Wing","level":2,"score":0.5124159455299377},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4872790575027466},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46414485573768616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4623279571533203},{"id":"https://openalex.org/C117185709","wikidata":"https://www.wikidata.org/wiki/Q381448","display_name":"Aeroelasticity","level":3,"score":0.4329458475112915},{"id":"https://openalex.org/C2778712445","wikidata":"https://www.wikidata.org/wiki/Q5264352","display_name":"Design knowledge","level":3,"score":0.4177970290184021},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4105183184146881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3309852182865143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3007535934448242},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1853034794330597},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1790502369403839},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2005.1554985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1482753234","https://openalex.org/W1494252918","https://openalex.org/W1510052597","https://openalex.org/W1585758300","https://openalex.org/W1600704669","https://openalex.org/W1679913846","https://openalex.org/W1991720993","https://openalex.org/W2075539402","https://openalex.org/W2096926731","https://openalex.org/W2110802877","https://openalex.org/W2114863568","https://openalex.org/W2148889163","https://openalex.org/W2316631877","https://openalex.org/W2316767499","https://openalex.org/W2914550350","https://openalex.org/W3146258224","https://openalex.org/W4213332169"],"related_works":["https://openalex.org/W2081885228","https://openalex.org/W2605007924","https://openalex.org/W2391922630","https://openalex.org/W2392140108","https://openalex.org/W2371600509","https://openalex.org/W133784989","https://openalex.org/W882656206","https://openalex.org/W2175402941","https://openalex.org/W60149624","https://openalex.org/W3192014561"],"abstract_inverted_index":{"The":[0,61],"data":[1,40,176],"mining":[2,41,177],"technique":[3],"is":[4,15],"an":[5],"important":[6],"facet":[7],"of":[8,17,68,112,124,131,170],"solving":[9],"multi-objective":[10,28,82],"optimization":[11,29,52],"problem":[12,30],"because":[13],"it":[14],"one":[16,169,189],"the":[18,23,27,36,58,69,105,110,132,140,145,154,159,163,171,179,192,203,208],"effective":[19],"manners":[20],"to":[21,54,127,188,197],"discover":[22],"design":[24,51,59,113,133,146,194],"knowledge":[25,56,147,185],"in":[26,207],"which":[31],"obtains":[32],"large":[33],"data.":[34],"In":[35],"present":[37],"study,":[38],"two":[39],"techniques":[42],"have":[43,198],"been":[44],"performed":[45],"for":[46,95,109],"a":[47,86,116,121],"large-scale,":[48],"real-world":[49],"multidisciplinary":[50],"(MDO)":[53],"provide":[55],"regarding":[57],"space.":[60,134],"MDO":[62,160],"among":[63,98],"aerodynamics,":[64],"structures,":[65],"and":[66,93,120,136,143],"aeroelasticity":[67],"regional-jet":[70],"wing":[71,181],"was":[72,178,186,195],"carried":[73],"out":[74],"using":[75,115],"high-fidelity":[76],"evaluation":[77],"models":[78],"on":[79],"adaptive":[80],"range":[81],"genetic":[83],"algorithm.":[84],"As":[85],"result,":[87],"nine":[88],"non-dominated":[89,167],"solutions":[90,102],"were":[91,107],"generated":[92],"used":[94],"tradeoff":[96],"analysis":[97,123],"three":[99],"objectives.":[100],"All":[101],"evaluated":[103],"during":[104],"evolution":[106],"analyzed":[108],"influence":[111],"variables":[114],"self-organizing":[117],"map":[118],"(SOM)":[119],"functional":[122],"variance":[125],"(ANOVA)":[126],"extract":[128],"key":[129,172],"features":[130,173],"SOM":[135],"ANOVA":[137],"compensated":[138],"with":[139,202],"respective":[141],"disadvantages,":[142],"then":[144],"could":[148],"be":[149],"obtained":[150],"more":[151],"clearly":[152],"by":[153,175],"combination":[155],"between":[156],"them.":[157],"Although":[158],"results":[161],"showed":[162],"inverted":[164],"gull-wings":[165],"as":[166],"solutions,":[168],"found":[174,196],"non-gull":[180],"geometry.":[182],"When":[183],"this":[184],"applied":[187],"optimum":[190],"solution,":[191],"resulting":[193],"better":[199],"performance":[200],"compared":[201],"original":[204],"geometry":[205],"designed":[206],"conventional":[209],"manner.":[210]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}