{"id":"https://openalex.org/W2587269890","doi":"https://doi.org/10.1109/smc.2016.7844944","title":"A Pareto optimal solution visualization method using SOM-NG with learning parameter optimization","display_name":"A Pareto optimal solution visualization method using SOM-NG with learning parameter optimization","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587269890","doi":"https://doi.org/10.1109/smc.2016.7844944","mag":"2587269890"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5074548000","display_name":"Yusuke Kobayashi","orcid":"https://orcid.org/0000-0001-9478-7307"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kobayashi","raw_affiliation_strings":["Graudate School of Engineering, Chiba University, Chiba, japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graudate School of Engineering, Chiba University, Chiba, japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063868921","display_name":"Takashi Okamoto","orcid":"https://orcid.org/0000-0003-0137-2490"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Okamoto","raw_affiliation_strings":["Graudate School of Engineering, Chiba University, Chiba, japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graudate School of Engineering, Chiba University, Chiba, japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032365591","display_name":"Seiichi Koakutsu","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Koakutsu","raw_affiliation_strings":["Graudate School of Engineering, Chiba University, Chiba, japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graudate School of Engineering, Chiba University, Chiba, japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3605,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71021559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"004525","last_page":"004531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9922000169754028,"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/T10320","display_name":"Neural Networks and Applications","score":0.9732999801635742,"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/visualization","display_name":"Visualization","score":0.7206277251243591},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.619145929813385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049129962921143},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5944871306419373},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5388135313987732},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.5381340384483337},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5227767825126648},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5113639235496521},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49862194061279297},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.42430388927459717},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4206168055534363},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34051066637039185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2990352213382721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28421929478645325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22906094789505005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1358526647090912}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7206277251243591},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.619145929813385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049129962921143},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5944871306419373},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5388135313987732},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.5381340384483337},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5227767825126648},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5113639235496521},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49862194061279297},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.42430388927459717},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4206168055534363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34051066637039185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2990352213382721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28421929478645325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22906094789505005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1358526647090912},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W266621144","https://openalex.org/W595181173","https://openalex.org/W1494252918","https://openalex.org/W1608317386","https://openalex.org/W1879678483","https://openalex.org/W1998674867","https://openalex.org/W2012914379","https://openalex.org/W2050906948","https://openalex.org/W2061158161","https://openalex.org/W2081239417","https://openalex.org/W2085147830","https://openalex.org/W2126105956","https://openalex.org/W2135694298","https://openalex.org/W2152696473","https://openalex.org/W2155645085","https://openalex.org/W2166120877","https://openalex.org/W2979235857","https://openalex.org/W3137715965","https://openalex.org/W6609771806","https://openalex.org/W6617744183","https://openalex.org/W6636368751","https://openalex.org/W6639376729","https://openalex.org/W6682155821"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2090178682","https://openalex.org/W2073298047","https://openalex.org/W2586328217","https://openalex.org/W2033790662","https://openalex.org/W2001591765","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W317165722"],"abstract_inverted_index":{"The":[0,22,64,152],"visualization":[1,26,37,93],"of":[2,10,13,35,70,77,109,154,166],"the":[3,14,18,29,45,54,68,71,74,78,105,112,118,129,133,143,146,155,161,164],"Pareto":[4,23,46,79,90],"optimal":[5,24,47,62,80,91],"solution":[6,25,48,81,92],"set":[7,82],"is":[8,33,52,66,83,150,158],"one":[9,34],"important":[11],"issues":[12],"decision-making":[15],"process":[16],"on":[17,104,111,128,160],"multi-objective":[19],"optimization":[20,149],"problem.":[21],"method":[27,40,94,157],"using":[28,95],"self-organizing":[30],"maps":[31,55,72,124,167],"(SOM)":[32],"promising":[36],"methods.":[38],"This":[39,86,116],"has":[41],"two":[42],"shortcomings":[43,134],"in":[44,142],"representation":[49],"capability.":[50],"One":[51],"that":[53,59,67],"have":[56],"incorrect":[57],"points":[58],"represent":[60],"non-Pareto":[61],"solutions.":[63],"other":[65],"coverage":[69,165],"for":[73],"edge":[75],"region":[76],"not":[84],"good.":[85],"study":[87],"proposes":[88],"a":[89],"SOM-NG.":[96],"In":[97,140],"SOM,":[98],"winner":[99],"nodes":[100,103],"affect":[101],"neighbor":[102],"map":[106],"space":[107],"irrespective":[108],"similarity":[110,127],"input":[113,130],"data":[114],"space.":[115],"causes":[117],"above-mentioned":[119],"shortcomings.":[120],"SOM-NG":[121],"can":[122],"form":[123],"with":[125],"considering":[126],"space;":[131],"hence,":[132],"are":[135],"expected":[136],"to":[137],"be":[138],"overcome.":[139],"addition,":[141],"proposed":[144,156],"method,":[145],"learning":[147],"parameter":[148],"introduced.":[151],"effectiveness":[153],"confirmed":[159],"incorrectness":[162],"and":[163],"through":[168],"numerical":[169],"experiments.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}