{"id":"https://openalex.org/W3041046995","doi":"https://doi.org/10.1109/access.2020.3007846","title":"A Fast Multi-Objective Particle Swarm Optimization Algorithm Based on a New Archive Updating Mechanism","display_name":"A Fast Multi-Objective Particle Swarm Optimization Algorithm Based on a New Archive Updating Mechanism","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3041046995","doi":"https://doi.org/10.1109/access.2020.3007846","mag":"3041046995"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3007846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007846","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3007846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053212090","display_name":"Khalil Alkebsi","orcid":"https://orcid.org/0000-0002-6900-008X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Khalil Alkebsi","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048267931","display_name":"Wenli Du","orcid":"https://orcid.org/0000-0002-2676-6341"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Du","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053212090"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8868,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.92689687,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"124734","last_page":"124754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T11115","display_name":"Topology Optimization in Engineering","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7336302399635315},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.732160210609436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7191929817199707},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7047484517097473},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6802947521209717},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.55769944190979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5392774939537048},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5351354479789734},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5212369561195374},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5168402791023254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19395402073860168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17353618144989014}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7336302399635315},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.732160210609436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191929817199707},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7047484517097473},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6802947521209717},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.55769944190979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5392774939537048},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5351354479789734},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5212369561195374},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5168402791023254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19395402073860168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17353618144989014},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":2,"locations":[{"id":"doi:10.1109/access.2020.3007846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007846","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:feaac3b58002425d81578b80d37fb72a","is_oa":true,"landing_page_url":"https://doaj.org/article/feaac3b58002425d81578b80d37fb72a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 124734-124754 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3007846","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007846","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1697919208","display_name":null,"funder_award_id":"61703163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4427995887","display_name":null,"funder_award_id":"61725301","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W579331955","https://openalex.org/W890304461","https://openalex.org/W939691211","https://openalex.org/W1488578987","https://openalex.org/W1496629945","https://openalex.org/W1542437639","https://openalex.org/W1587294773","https://openalex.org/W1846834309","https://openalex.org/W1984323076","https://openalex.org/W1985434370","https://openalex.org/W1988664437","https://openalex.org/W1995972800","https://openalex.org/W2020466329","https://openalex.org/W2022485595","https://openalex.org/W2033007297","https://openalex.org/W2043975465","https://openalex.org/W2053900989","https://openalex.org/W2068411105","https://openalex.org/W2104017154","https://openalex.org/W2123808725","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2130368085","https://openalex.org/W2131355461","https://openalex.org/W2143245714","https://openalex.org/W2143381319","https://openalex.org/W2152195021","https://openalex.org/W2153272405","https://openalex.org/W2156262512","https://openalex.org/W2215504740","https://openalex.org/W2422218050","https://openalex.org/W2517908245","https://openalex.org/W2529161108","https://openalex.org/W2531108548","https://openalex.org/W2606294877","https://openalex.org/W2626046034","https://openalex.org/W2738689687","https://openalex.org/W2764251381","https://openalex.org/W2766133347","https://openalex.org/W2771564857","https://openalex.org/W2808442772","https://openalex.org/W2884365183","https://openalex.org/W2924215810","https://openalex.org/W2956572225","https://openalex.org/W2995423717","https://openalex.org/W4236825738","https://openalex.org/W6632410151","https://openalex.org/W6647614648"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2070977815","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2161494499"],"abstract_inverted_index":{"Multi-objective":[0],"optimization":[1,102,171],"has":[2],"received":[3],"increasing":[4],"attention":[5],"over":[6],"the":[7,40,50,60,71,74,86,114,133,140,147,182],"past":[8],"few":[9],"decades,":[10],"and":[11,143,159,173,192],"a":[12,78,91,97,106],"large":[13],"number":[14,51],"of":[15,52,73,85,146,151,185,189,194],"nature-inspired":[16],"metaheuristic":[17],"algorithms":[18,172],"have":[19],"been":[20],"developed":[21],"to":[22,32,67,128,138],"solve":[23],"multi-objective":[24,37,99,164,168,175],"problems.":[25],"An":[26],"external":[27],"archive":[28,41,61,108,123],"is":[29,43,64,89,120,153],"often":[30],"used":[31],"store":[33],"elite":[34],"solutions":[35,54,88,131],"in":[36,70,132,187],"algorithms.":[38,177],"Since":[39],"size":[42],"limited,":[44],"it":[45],"must":[46],"be":[47],"truncated":[48],"when":[49],"nondominated":[53,130],"exceeds":[55],"its":[56,68],"maximum":[57],"size.":[58],"Thus,":[59],"updating":[62,109,124],"strategy":[63],"crucial":[65],"due":[66],"influence":[69],"performance":[72,150],"algorithm.":[75],"However,":[76],"achieving":[77],"fast":[79],"convergence":[80,141,190],"speed":[81,142,191],"while":[82],"assuring":[83],"diversity":[84,145],"obtained":[87],"always":[90],"challenging":[92],"task.":[93],"In":[94],"this":[95],"paper,":[96],"novel":[98],"particle":[100,169],"swarm":[101,170],"algorithm":[103],"based":[104],"on":[105,113,155],"new":[107],"mechanism":[110],"which":[111,135],"depends":[112],"nearest":[115],"neighbor":[116],"approach,":[117],"called":[118],"MOPSONN,":[119],"proposed.":[121],"Two":[122],"strategies":[125],"are":[126,136],"adopted":[127],"update":[129],"archive,":[134],"beneficial":[137],"accelerate":[139],"maintain":[144],"swarm.":[148],"The":[149,178],"MOPOSNN":[152],"evaluated":[154],"several":[156],"benchmark":[157],"problems":[158],"compared":[160],"with":[161],"seven":[162],"state-of-the-art":[163],"algorithms,":[165],"including":[166],"four":[167],"three":[174],"evolutionary":[176],"experimental":[179],"results":[180],"demonstrate":[181],"significant":[183],"effectiveness":[184],"MOPSONN":[186],"terms":[188],"spread":[193],"solutions.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":12}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
