{"id":"https://openalex.org/W4403041287","doi":"https://doi.org/10.15388/24-infor572","title":"On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection","display_name":"On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403041287","doi":"https://doi.org/10.15388/24-infor572"},"language":"en","primary_location":{"id":"doi:10.15388/24-infor572","is_oa":true,"landing_page_url":"https://doi.org/10.15388/24-infor572","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1349/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1349/file/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107689533","display_name":"Mateusz Burczaniuk","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mateusz Burczaniuk","raw_affiliation_strings":["Faculty of Mathematics and Information Science , Warsaw University of Technology , ul. Koszykowa 75 , Warsaw , 00-662 , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science , Warsaw University of Technology , ul. Koszykowa 75 , Warsaw , 00-662 , Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033442768","display_name":"Agnieszka Jastrz\u0119bska","orcid":"https://orcid.org/0000-0001-5361-5787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agnieszka Jastrz\u0119bska","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5361-5787","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107689533"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.2496,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54962011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"687","last_page":"719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/metaheuristic","display_name":"Metaheuristic","score":0.7643226385116577},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7065330147743225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4711426794528961},{"id":"https://openalex.org/keywords/structural-break","display_name":"Structural break","score":0.46170738339424133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20269045233726501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1896989941596985},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.15009242296218872},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07321926951408386}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7643226385116577},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7065330147743225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4711426794528961},{"id":"https://openalex.org/C186008389","wikidata":"https://www.wikidata.org/wiki/Q7625010","display_name":"Structural break","level":2,"score":0.46170738339424133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20269045233726501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1896989941596985},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.15009242296218872},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07321926951408386},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15388/24-infor572","is_oa":true,"landing_page_url":"https://doi.org/10.15388/24-infor572","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1349/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.15388/24-infor572","is_oa":true,"landing_page_url":"https://doi.org/10.15388/24-infor572","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1349/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322637","display_name":"Politechnika Warszawska","ror":"https://ror.org/00y0xnp53"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403041287.pdf","grobid_xml":"https://content.openalex.org/works/W4403041287.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1491711721","https://openalex.org/W1968618986","https://openalex.org/W2001992115","https://openalex.org/W2013776580","https://openalex.org/W2040589185","https://openalex.org/W2054658115","https://openalex.org/W2072254976","https://openalex.org/W2075304461","https://openalex.org/W2078273711","https://openalex.org/W2143975431","https://openalex.org/W2152168289","https://openalex.org/W2172154801","https://openalex.org/W2278891979","https://openalex.org/W2330210193","https://openalex.org/W2419600008","https://openalex.org/W2525227401","https://openalex.org/W2758983795","https://openalex.org/W2888261345","https://openalex.org/W2904346342","https://openalex.org/W2982521481","https://openalex.org/W3002391184","https://openalex.org/W3005692341","https://openalex.org/W3018472896","https://openalex.org/W3037724880","https://openalex.org/W3082688651","https://openalex.org/W3083718207","https://openalex.org/W3120983897","https://openalex.org/W3123021666","https://openalex.org/W3133115838","https://openalex.org/W3147352159","https://openalex.org/W3167551583","https://openalex.org/W3171635672","https://openalex.org/W3176497757","https://openalex.org/W3176906368","https://openalex.org/W3177970040","https://openalex.org/W3188825013","https://openalex.org/W3203268470","https://openalex.org/W3208731550","https://openalex.org/W3212420073","https://openalex.org/W4220754317","https://openalex.org/W4220760827","https://openalex.org/W4225535706","https://openalex.org/W4238713958","https://openalex.org/W4283069767","https://openalex.org/W4284881389","https://openalex.org/W4320913142","https://openalex.org/W4387450714","https://openalex.org/W4392811194"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2789681586","https://openalex.org/W2794361564","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W4232791346","https://openalex.org/W2971069100","https://openalex.org/W2504553392","https://openalex.org/W2139450496"],"abstract_inverted_index":{"Structural":[0],"break":[1,71,123,165],"detection":[2,72,166],"is":[3],"an":[4],"important":[5],"time":[6,26,31,145],"series":[7,27,32,146],"analysis":[8],"task.":[9,73],"It":[10],"can":[11,53],"be":[12],"treated":[13],"as":[14],"a":[15,25,62,154],"multi-objective":[16],"optimization":[17,52],"problem,":[18],"in":[19,92,118],"which":[20,125],"we":[21,152],"ought":[22],"to":[23,47,162,180],"find":[24],"segmentation":[28],"such":[29],"that":[30,76,138],"theoretical":[33],"models":[34],"constructed":[35],"on":[36,130,169],"each":[37,103],"segment":[38],"are":[39,44],"well-fitted":[40],"and":[41],"the":[42,69,77,88,93,108,111,119,131,158,163,170],"segments":[43],"long":[45],"enough":[46],"bear":[48],"meaningful":[49],"information.":[50],"Metaheuristic":[51],"help":[54],"us":[55],"solve":[56],"this":[57,96],"problem.":[58],"This":[59],"paper":[60,109],"introduces":[61],"suite":[63],"of":[64,95,102,113,121,157],"new":[65,78,104],"cost":[66,79,89,105],"functions":[67,80,90],"for":[68,82,142],"structural":[70,122,164],"We":[74,98],"demonstrate":[75],"allow":[81],"achieving":[83],"quantitatively":[84],"better":[85],"precision":[86],"than":[87],"employed":[91],"literature":[94],"domain.":[97],"show":[99,137],"particular":[100],"advantages":[101],"function.":[106],"Furthermore,":[107],"promotes":[110],"use":[112],"Particle":[114],"Swarm":[115],"Optimization":[116],"(PSO)":[117],"domain":[120],"detection,":[124],"so":[126],"far":[127],"has":[128],"relied":[129],"Genetic":[132],"Algorithm":[133],"(GA).":[134],"Our":[135],"experiments":[136],"PSO":[139],"outperforms":[140],"GA":[141],"many":[143],"analysed":[144],"examples.":[147],"Last":[148],"but":[149],"not":[150],"least,":[151],"introduce":[153],"non-trivial":[155],"generalization":[156],"top-performing":[159],"state-of-the-art":[160],"approach":[161],"problem":[167],"based":[168],"Minimum":[171],"Description":[172],"Length":[173],"(MDL)":[174],"rule":[175],"with":[176],"autoregressive":[177],"(AR)":[178],"model":[179],"MDL":[181],"ARIMA":[182],"(autoregressive":[183],"integrated":[184],"moving":[185],"average)":[186],"model.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-10-10T00:00:00"}