{"id":"https://openalex.org/W4283464229","doi":"https://doi.org/10.1145/3533050.3533060","title":"Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated Ferrofluids","display_name":"Application of Hybrid PSO and SQP Algorithm in Optimization of the Retardance of Citrate Coated Ferrofluids","publication_year":2022,"publication_date":"2022-04-09","ids":{"openalex":"https://openalex.org/W4283464229","doi":"https://doi.org/10.1145/3533050.3533060"},"language":"en","primary_location":{"id":"doi:10.1145/3533050.3533060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533050.3533060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics &amp; Swarm Intelligence","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/A5102134153","display_name":"Jing-Fung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137066","display_name":"Far East University","ror":"https://ror.org/03ms7mr17","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210137066"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jing-Fung Lin","raw_affiliation_strings":["Department of Aircraft Maintenance, Far East University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aircraft Maintenance, Far East University, Taiwan","institution_ids":["https://openalex.org/I4210137066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112288949","display_name":"Jer\u2010Jia Sheu","orcid":null},"institutions":[{"id":"https://openalex.org/I92582371","display_name":"Southern Taiwan University of Science and Technology","ror":"https://ror.org/0029n1t76","country_code":"TW","type":"education","lineage":["https://openalex.org/I92582371"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jer-Jia Sheu","raw_affiliation_strings":["Department of Mechanical Engineering, Southern Taiwan University of Science and Technology, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Southern Taiwan University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I92582371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1011,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33622521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12405","display_name":"Characterization and Applications of Magnetic Nanoparticles","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequential-quadratic-programming","display_name":"Sequential quadratic programming","score":0.8729557991027832},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7841355800628662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5239056348800659},{"id":"https://openalex.org/keywords/ferrofluid","display_name":"Ferrofluid","score":0.4212890863418579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37075120210647583},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3695414662361145},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35350120067596436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33791154623031616},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.30528414249420166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1654266119003296},{"id":"https://openalex.org/keywords/magnetic-field","display_name":"Magnetic field","score":0.1230875551700592}],"concepts":[{"id":"https://openalex.org/C198927703","wikidata":"https://www.wikidata.org/wiki/Q4373881","display_name":"Sequential quadratic programming","level":3,"score":0.8729557991027832},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7841355800628662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5239056348800659},{"id":"https://openalex.org/C168589914","wikidata":"https://www.wikidata.org/wiki/Q727023","display_name":"Ferrofluid","level":3,"score":0.4212890863418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37075120210647583},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3695414662361145},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35350120067596436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33791154623031616},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.30528414249420166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1654266119003296},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.1230875551700592},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533050.3533060","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3533050.3533060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics &amp; Swarm Intelligence","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":19,"referenced_works":["https://openalex.org/W1874332895","https://openalex.org/W1966348995","https://openalex.org/W1984893203","https://openalex.org/W2014974794","https://openalex.org/W2033884996","https://openalex.org/W2055604066","https://openalex.org/W2055977345","https://openalex.org/W2097443588","https://openalex.org/W2120854026","https://openalex.org/W2251716644","https://openalex.org/W2419283040","https://openalex.org/W2514926369","https://openalex.org/W2590899635","https://openalex.org/W2789477383","https://openalex.org/W2936696689","https://openalex.org/W2979326761","https://openalex.org/W3023796310","https://openalex.org/W3029153694","https://openalex.org/W3110332129"],"related_works":["https://openalex.org/W2128461291","https://openalex.org/W4206223795","https://openalex.org/W2092346180","https://openalex.org/W2589412911","https://openalex.org/W2167631998","https://openalex.org/W2183453826","https://openalex.org/W2053979626","https://openalex.org/W2152726670","https://openalex.org/W1986448087","https://openalex.org/W1525766277"],"abstract_inverted_index":{"The":[0,64,100,158],"citrate":[1],"(citric":[2],"acid,":[3],"CA)":[4],"coated":[5],"ferrofluids":[6],"with":[7,43],"great":[8],"magneto-optical":[9],"retardance":[10,65,106,161],"can":[11],"meet":[12],"the":[13,34,40,68,79,84,105,117,123,125,130,137,141,146,151,155,163,171,176,179,184],"high":[14,98],"magnetic":[15,28],"responsive":[16],"demand,":[17],"especially":[18],"in":[19,154],"widely":[20],"potential":[21],"biomedical":[22],"applications":[23],"such":[24],"as":[25,150],"hyperthermia":[26],"and":[27,61,89,134,162,178],"resonance":[29],"imaging.":[30],"In":[31],"this":[32],"study,":[33],"measured":[35],"retardances":[36],"are":[37,94,102,120,167],"based":[38],"on":[39],"Taguchi":[41],"method":[42],"nine":[44],"tests":[45],"for":[46],"four":[47],"parameters,":[48],"including":[49,78],"pH":[50],"of":[51,55,175,183],"suspension,":[52],"molar":[53],"ratio":[54],"CA":[56,59],"to":[57,96,129],"Fe3O4,":[58],"volume,":[60],"coating":[62],"temperature.":[63],"obtained":[66,108,144],"from":[67,109,116],"double":[69],"centrifugation":[70],"test":[71,119],"is":[72,127,148],"also":[73],"included.":[74],"Three":[75],"optimization":[76,82],"algorithms":[77],"particle":[80],"swarm":[81],"(PSO),":[83],"sequential":[85],"quadratic":[86],"programming":[87],"(SQP),":[88],"a":[90],"hybrid":[91,138],"PSO-SQP":[92,139],"algorithm":[93],"executed":[95],"obtain":[97],"retardance.":[99],"comparisons":[101],"made":[103],"among":[104],"results":[107],"these":[110],"algorithms.":[111],"Seven":[112],"start":[113,152],"points":[114],"chosen":[115],"orthogonal":[118],"input":[121],"into":[122],"SQP,":[124],"PSO":[126,147,177],"applied":[128],"stepwise":[131],"regression":[132],"equation,":[133],"while":[135],"executing":[136],"algorithm,":[140],"parametric":[142],"combination":[143],"by":[145,170],"adopted":[149],"point":[153],"SQP":[156],"simulation.":[157],"global":[159,172],"optimum":[160],"corresponding":[164],"parameter":[165],"values":[166],"effectively":[168],"assured":[169],"search":[173,181],"ability":[174,182],"local":[180],"SQP.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
