{"id":"https://openalex.org/W2774326485","doi":"https://doi.org/10.1109/smc.2017.8122664","title":"Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem","display_name":"Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774326485","doi":"https://doi.org/10.1109/smc.2017.8122664","mag":"2774326485"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056566218","display_name":"Yukiko Orito","orcid":null},"institutions":[{"id":"https://openalex.org/I183792356","display_name":"Hiroshima University of Economics","ror":"https://ror.org/027b58k10","country_code":"JP","type":"education","lineage":["https://openalex.org/I183792356"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiko Orito","raw_affiliation_strings":["Department of Economics, Hiroshima University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, Hiroshima University, Hiroshima, Japan","institution_ids":["https://openalex.org/I183792356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042453340","display_name":"Yoshiko Hanada","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiko Hanada","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3168,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.50063694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"554","last_page":"559"},"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":0.9991999864578247,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9987999796867371,"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/space","display_name":"Space (punctuation)","score":0.7353620529174805},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6993682980537415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277360677719116},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.5247883200645447},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5176863670349121},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5117087364196777},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.47961294651031494},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.4374798834323883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3892286419868469}],"concepts":[{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.7353620529174805},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6993682980537415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277360677719116},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.5247883200645447},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5176863670349121},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5117087364196777},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.47961294651031494},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.4374798834323883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3892286419868469},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":11,"referenced_works":["https://openalex.org/W1558099741","https://openalex.org/W1976658031","https://openalex.org/W2001887873","https://openalex.org/W2038659300","https://openalex.org/W2089559114","https://openalex.org/W2113188547","https://openalex.org/W2131733362","https://openalex.org/W2151237529","https://openalex.org/W2166580574","https://openalex.org/W2167580870","https://openalex.org/W2170967983"],"related_works":["https://openalex.org/W4205713785","https://openalex.org/W3016766501","https://openalex.org/W4398287560","https://openalex.org/W4398914716","https://openalex.org/W4398619072","https://openalex.org/W4398556994","https://openalex.org/W4398472861","https://openalex.org/W4398934068","https://openalex.org/W4398686282","https://openalex.org/W4398870170"],"abstract_inverted_index":{"It":[0],"is":[1],"difficult":[2],"to":[3,64],"find":[4],"optimum":[5],"solutions":[6,87,101],"by":[7],"using":[8],"evolutionary":[9],"algorithms":[10],"(EAs)":[11],"in":[12,35,83,88,102],"high-dimensional":[13,26,67],"search":[14,20,31,40,58,79,91],"space":[15,32,80,92],"as":[16,93],"compared":[17,94],"with":[18,95],"low-dimensional":[19],"space.":[21,59,106],"For":[22,37],"solving":[23],"such":[24],"a":[25,30,96],"problem,":[27],"we":[28,75],"propose":[29],"reduction":[33,81],"approach":[34,43,63,82,98],"EAs.":[36],"reducing":[38],"the":[39,42,46,57,66,72,89,103],"space,":[41],"repeats":[44],"fixing":[45],"value":[47],"of":[48],"one":[49],"design":[50],"variable":[51],"which":[52,99],"should":[53],"be":[54],"reduced":[55,90],"from":[56],"We":[60],"apply":[61],"this":[62],"optimize":[65],"portfolio":[68],"replication":[69],"problem.":[70],"In":[71],"numerical":[73],"experiments,":[74],"show":[76],"that":[77],"our":[78],"EAs":[84],"finds":[85],"good":[86],"traditional":[97],"searches":[100],"whole":[104],"solution":[105]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}