{"id":"https://openalex.org/W4207065187","doi":"https://doi.org/10.1109/ssci50451.2021.9659541","title":"Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization","display_name":"Set-based Particle Swarm Optimization for Portfolio Optimization with Adaptive Coordinate Descent Weight Optimization","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4207065187","doi":"https://doi.org/10.1109/ssci50451.2021.9659541"},"language":"en","primary_location":{"id":"doi:10.1109/ssci50451.2021.9659541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659541","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5075201489","display_name":"Kyle Erwin","orcid":"https://orcid.org/0000-0002-3725-3154"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Kyle Erwin","raw_affiliation_strings":["Stellenbosh University,Computer Science Division,South Africa","Computer Science Division, Stellenbosh University, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellenbosh University,Computer Science Division,South Africa","institution_ids":["https://openalex.org/I26092322"]},{"raw_affiliation_string":"Computer Science Division, Stellenbosh University, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andries Engelbrecht","raw_affiliation_strings":["Stellenbosh University,Department of Industrial Engineering and Computer Science Division,South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stellenbosh University,Department of Industrial Engineering and Computer Science Division,South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9986000061035156,"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":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/portfolio-optimization","display_name":"Portfolio optimization","score":0.829680323600769},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7059992551803589},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.671629786491394},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6468787789344788},{"id":"https://openalex.org/keywords/derivative-free-optimization","display_name":"Derivative-free optimization","score":0.6129571795463562},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5652912259101868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5514984726905823},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5512107014656067},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5227615833282471},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.49571049213409424},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.49253877997398376},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47868067026138306},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.46707940101623535},{"id":"https://openalex.org/keywords/vector-optimization","display_name":"Vector optimization","score":0.43040966987609863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2953442335128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14004307985305786}],"concepts":[{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.829680323600769},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7059992551803589},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.671629786491394},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6468787789344788},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.6129571795463562},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5652912259101868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514984726905823},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5512107014656067},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5227615833282471},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.49571049213409424},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.49253877997398376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47868067026138306},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.46707940101623535},{"id":"https://openalex.org/C164088818","wikidata":"https://www.wikidata.org/wiki/Q7917833","display_name":"Vector optimization","level":4,"score":0.43040966987609863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2953442335128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14004307985305786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci50451.2021.9659541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci50451.2021.9659541","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334105","display_name":"Center for High Performance Computing","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1543520236","https://openalex.org/W1554263409","https://openalex.org/W1834188165","https://openalex.org/W1971093393","https://openalex.org/W2013674998","https://openalex.org/W2053336380","https://openalex.org/W2059402937","https://openalex.org/W2067544512","https://openalex.org/W2081315321","https://openalex.org/W2091095566","https://openalex.org/W2098907614","https://openalex.org/W2109364787","https://openalex.org/W2125015761","https://openalex.org/W2127147933","https://openalex.org/W2132003714","https://openalex.org/W2165299997","https://openalex.org/W2187487247","https://openalex.org/W2619923085","https://openalex.org/W2791153118","https://openalex.org/W2890058497","https://openalex.org/W2912000148","https://openalex.org/W3093629255","https://openalex.org/W3120017148","https://openalex.org/W3120917356","https://openalex.org/W3181330688","https://openalex.org/W6665327217","https://openalex.org/W6673013260","https://openalex.org/W6686559726"],"related_works":["https://openalex.org/W2356516493","https://openalex.org/W2389745779","https://openalex.org/W1988325824","https://openalex.org/W2365047340","https://openalex.org/W4317103717","https://openalex.org/W2186293978","https://openalex.org/W2133565636","https://openalex.org/W2019585418","https://openalex.org/W2965688532","https://openalex.org/W2391889613"],"abstract_inverted_index":{"Set-based":[0,24],"algorithms":[1,25],"have":[2],"been":[3],"shown":[4,60,155],"to":[5,10,16,19,61,64,94,104],"successfully":[6],"find":[7],"optimal":[8],"solutions":[9,169],"the":[11,34,46,85,171],"portfolio":[12,21,71,95,111,123,159],"optimization":[13,22,79,87,160,165],"problem":[14],"and":[15,52,98,136],"scale":[17],"well":[18,66],"larger":[20],"problems.":[23],"work":[26],"by":[27],"selecting":[28],"a":[29,41,65,82,132,141,147],"sub-set":[30],"of":[31,146],"assets":[32,38],"from":[33],"set":[35],"universe.":[36],"These":[37],"then":[39],"form":[40],"new":[42],"search":[43],"space":[44],"where":[45],"asset":[47],"weights":[48],"are":[49],"optimized.":[50],"Erwin":[51,97],"Engelbrecht":[53,99],"purposed":[54],"such":[55],"an":[56,116,144],"algorithm":[57,69],"that":[58,106,156],"was":[59],"perform":[62],"similarly":[63],"known":[67],"genetic":[68],"for":[70,84,110,120,122,158,163],"optimization.":[72,96,112],"The":[73],"proposed":[74],"algorithm,":[75,174],"set-based":[76,92],"particle":[77],"swarm":[78],"(SBPSO),":[80],"used":[81],"meta-huerstic":[83],"weight":[86,118,164],"process":[88],"-":[89],"unlike":[90],"previous":[91],"approaches":[93],"also":[100],"developed":[101],"several":[102],"modifications":[103],"SBPSO":[105,121,157,173],"improved":[107],"its":[108],"performance":[109],"This":[113],"paper":[114],"investgates":[115],"alternative":[117],"optimizer":[119],"optimization,":[124],"namely":[125],"adaptive":[126],"coordinate":[127],"descent":[128],"(ACD).":[129],"ACD":[130,162],"is":[131,154],"completely":[133],"deterministic":[134],"approach":[135],"thus":[137],"ensures":[138],"that,":[139],"after":[140],"finite":[142],"time,":[143],"approximation":[145],"global":[148],"optimum":[149],"will":[150],"be":[151],"found.":[152],"It":[153],"using":[161],"found":[166],"higher":[167],"quality":[168],"than":[170],"current":[172],"albeit":[175],"slightly":[176],"slower.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}