{"id":"https://openalex.org/W7125962614","doi":"https://doi.org/10.1109/smc58881.2025.11342563","title":"In-depth Financial Analysis of a Quantum-inspired Weighted Multi-objective Portfolio Model with Visual Observations","display_name":"In-depth Financial Analysis of a Quantum-inspired Weighted Multi-objective Portfolio Model with Visual Observations","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125962614","doi":"https://doi.org/10.1109/smc58881.2025.11342563"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5081338996","display_name":"Yu-Chi Jiang","orcid":"https://orcid.org/0000-0003-0489-9896"},"institutions":[{"id":"https://openalex.org/I134793997","display_name":"National University of Tainan","ror":"https://ror.org/020pqc882","country_code":"TW","type":"education","lineage":["https://openalex.org/I134793997"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chi Jiang","raw_affiliation_strings":["National University of Tainan,Tainan,Taiwan,700301"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Tainan,Tainan,Taiwan,700301","institution_ids":["https://openalex.org/I134793997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124108543","display_name":"Ping-I Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I193365169","display_name":"National Chi Nan University","ror":"https://ror.org/03ha6v181","country_code":"TW","type":"education","lineage":["https://openalex.org/I193365169"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-I Lin","raw_affiliation_strings":["National Chi Nan University,Puli,Taiwan,54561"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chi Nan University,Puli,Taiwan,54561","institution_ids":["https://openalex.org/I193365169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121953176","display_name":"Shu-Yu Kuo","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Yu Kuo","raw_affiliation_strings":["National Yunlin University of Science and Technology,Douliu,Taiwan,640301"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yunlin University of Science and Technology,Douliu,Taiwan,640301","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067978605","display_name":"Yao\u2013Hsin Chou","orcid":"https://orcid.org/0000-0002-3254-5510"},"institutions":[{"id":"https://openalex.org/I193365169","display_name":"National Chi Nan University","ror":"https://ror.org/03ha6v181","country_code":"TW","type":"education","lineage":["https://openalex.org/I193365169"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yao-Hsin Chou","raw_affiliation_strings":["National Chi Nan University,Puli,Taiwan,54561"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chi Nan University,Puli,Taiwan,54561","institution_ids":["https://openalex.org/I193365169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80501339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7115","last_page":"7120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.47690001130104065,"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"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.47690001130104065,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.18529999256134033,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.052400000393390656,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/portfolio-optimization","display_name":"Portfolio optimization","score":0.7311000227928162},{"id":"https://openalex.org/keywords/modern-portfolio-theory","display_name":"Modern portfolio theory","score":0.5577999949455261},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5421000123023987},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5055000185966492},{"id":"https://openalex.org/keywords/efficient-frontier","display_name":"Efficient frontier","score":0.4867999851703644},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4165000021457672},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4140999913215637},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4092000126838684},{"id":"https://openalex.org/keywords/financial-modeling","display_name":"Financial modeling","score":0.37139999866485596}],"concepts":[{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.7311000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6204000115394592},{"id":"https://openalex.org/C9725762","wikidata":"https://www.wikidata.org/wiki/Q1072885","display_name":"Modern portfolio theory","level":3,"score":0.5577999949455261},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5421000123023987},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5055000185966492},{"id":"https://openalex.org/C51485801","wikidata":"https://www.wikidata.org/wiki/Q16966861","display_name":"Efficient frontier","level":3,"score":0.4867999851703644},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4814000129699707},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4165000021457672},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C23925645","wikidata":"https://www.wikidata.org/wiki/Q5449731","display_name":"Financial modeling","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C67051015","wikidata":"https://www.wikidata.org/wiki/Q7233558","display_name":"Post-modern portfolio theory","level":5,"score":0.35249999165534973},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C76073288","wikidata":"https://www.wikidata.org/wiki/Q1337875","display_name":"Financial risk","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2992999851703644},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C84749600","wikidata":"https://www.wikidata.org/wiki/Q5449714","display_name":"Financial engineering","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C77913304","wikidata":"https://www.wikidata.org/wiki/Q879967","display_name":"Black\u2013Litterman model","level":5,"score":0.26170000433921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1588375755","https://openalex.org/W1595159159","https://openalex.org/W2038420231","https://openalex.org/W2039077263","https://openalex.org/W2050568179","https://openalex.org/W2059402937","https://openalex.org/W2069651500","https://openalex.org/W2116400650","https://openalex.org/W2118246375","https://openalex.org/W2122274805","https://openalex.org/W2123808725","https://openalex.org/W2126105956","https://openalex.org/W2143245714","https://openalex.org/W2151237529","https://openalex.org/W2152195021","https://openalex.org/W2893643336","https://openalex.org/W2967294908","https://openalex.org/W3210557706","https://openalex.org/W4220700886","https://openalex.org/W4231702991","https://openalex.org/W4308112317","https://openalex.org/W4401413997"],"related_works":[],"abstract_inverted_index":{"Quantum-inspired":[0],"evolutionary":[1],"computation":[2],"integrates":[3],"quantum":[4],"mechanics":[5],"with":[6,132],"classical":[7,133],"optimization":[8,23],"techniques,":[9],"offering":[10,58],"innovative":[11],"solutions":[12,104],"to":[13,93,106],"complex":[14],"real-world":[15,29],"problems":[16],"and":[17,57,89,116,127],"gaining":[18],"attention.":[19],"Among":[20],"them,":[21],"portfolio":[22,71],"presents":[24],"a":[25,68],"critical":[26],"issue.":[27],"Enhancing":[28],"applicability":[30],"requires":[31],"further":[32],"consideration":[33],"of":[34,102,144],"fund":[35],"allocation":[36],"alongside":[37],"various":[38,107,124],"investor":[39],"risk":[40,108],"preferences.":[41],"However,":[42],"traditional":[43],"methods":[44],"face":[45],"challenges":[46],"in":[47,53],"handling":[48],"high-dimensional,":[49],"multi-objective":[50,69,79,134],"optimization,":[51],"particularly":[52],"maintaining":[54],"solution":[55],"diversity":[56],"interpretable":[59],"results.":[60],"To":[61],"address":[62],"this":[63,65],"challenge,":[64],"study":[66],"proposes":[67],"weighted":[70],"model":[72],"(MoWPM)":[73],"incorporating":[74],"trend":[75],"ratio-based":[76],"evaluation.":[77],"The":[78],"quantum-inspired":[80,145],"tabu":[81],"search":[82],"(MoQTS)":[83],"designs":[84],"for":[85,147],"MoWPM,":[86],"leveraging":[87],"superposition":[88],"enhanced":[90],"entanglement":[91],"mechanisms":[92],"explore":[94],"the":[95,100,141],"Pareto":[96],"front.":[97],"MoQTS":[98,115],"enables":[99],"generation":[101],"high-quality":[103],"tailored":[105],"levels.":[109],"In-depth":[110],"empirical":[111],"analysis":[112],"shows":[113],"that":[114],"MoWPM":[117],"outperform":[118],"equal-weighted":[119],"approaches,":[120],"demonstrating":[121],"robustness":[122],"across":[123],"performance":[125],"indicators":[126],"through":[128],"statistical":[129],"validation.":[130],"Experiments":[131],"algorithms,":[135],"supported":[136],"by":[137],"clear":[138],"visualizations,":[139],"underscore":[140],"strong":[142],"potential":[143],"techniques":[146],"practical":[148],"financial":[149],"optimization.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-29T00:00:00"}
