{"id":"https://openalex.org/W2962489971","doi":"https://doi.org/10.1145/3319619.3322010","title":"Inferring structure and parameters of dynamic systems using particle swarm optimization","display_name":"Inferring structure and parameters of dynamic systems using particle swarm optimization","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2962489971","doi":"https://doi.org/10.1145/3319619.3322010","mag":"2962489971"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3322010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3322010","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5101783901","display_name":"Muhammad Usman","orcid":"https://orcid.org/0000-0002-6383-4323"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Usman","raw_affiliation_strings":["University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038065289","display_name":"Abubakr Awad","orcid":"https://orcid.org/0000-0002-9801-2813"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abubakr Awad","raw_affiliation_strings":["University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081644845","display_name":"Wei Pang","orcid":"https://orcid.org/0000-0002-1761-6659"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Pang","raw_affiliation_strings":["University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082375941","display_name":"George M. Coghill","orcid":"https://orcid.org/0000-0002-2047-8277"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George M. Coghill","raw_affiliation_strings":["University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I195460627"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"101","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.995199978351593,"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":0.995199978351593,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9627000093460083,"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/T10320","display_name":"Neural Networks and Applications","score":0.9513000249862671,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8638117909431458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663678765296936},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5345180630683899},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5162432193756104},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4787701666355133},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40666866302490234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36345118284225464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23366126418113708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17612791061401367}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8638117909431458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663678765296936},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5345180630683899},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5162432193756104},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4787701666355133},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40666866302490234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36345118284225464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23366126418113708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17612791061401367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3322010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3322010","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320359","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W353398420","https://openalex.org/W1502828515","https://openalex.org/W1544971075","https://openalex.org/W1835176610","https://openalex.org/W1966930189","https://openalex.org/W1977344101","https://openalex.org/W2033337659"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W2349895019","https://openalex.org/W2070977815","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Inferring":[0],"models":[1],"of":[2,41,88,108],"dynamic":[3,43,92],"systems":[4],"from":[5],"their":[6],"time":[7],"series":[8],"data":[9],"is":[10],"a":[11,42,97],"challenging":[12],"task":[13],"for":[14,104],"optimization":[15],"algorithms":[16],"due":[17],"to":[18,34,71,82],"its":[19],"potentially":[20],"expensive":[21],"computational":[22],"cost":[23],"and":[24,39,86,90,110,125,127],"underlying":[25],"large":[26],"search":[27],"space.":[28],"In":[29],"this":[30],"study":[31],"we":[32,60],"aim":[33],"infer":[35],"both":[36],"the":[37,84,106],"structure":[38,85,124],"parameters":[40,87],"system":[44,93],"model":[45,101],"simultaneously":[46],"by":[47,53],"Particle":[48],"Swarm":[49],"Optimization":[50],"(PSO),":[51],"enhanced":[52],"effective":[54],"stratified":[55],"sampling":[56],"strategies.":[57],"More":[58],"specifically":[59],"apply":[61],"Latin":[62],"Hyper":[63],"Cube":[64],"Sampling":[65],"(LHS)":[66],"with":[67,122],"PSO.":[68],"This":[69],"leads":[70],"two":[72],"novel":[73],"swarm-inspired":[74],"algorithms,":[75],"LHS-PSO":[76,117],"which":[77],"can":[78,118],"be":[79],"used":[80,96],"efficiently":[81],"learn":[83],"simple":[89],"complex":[91,98],"models.":[94],"We":[95],"biological":[99],"cancer":[100],"called":[102],"Kinetochores,":[103],"assessing":[105],"performance":[107],"PSO":[109,130],"LHS-PSO.":[111],"The":[112],"experimental":[113],"results":[114],"demonstrate":[115],"that":[116],"find":[119],"promising":[120],"solutions":[121],"corresponding":[123],"parameters,":[126],"it":[128],"outperforms":[129],"during":[131],"our":[132],"experiments.":[133]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}