{"id":"https://openalex.org/W4383751151","doi":"https://doi.org/10.1109/access.2023.3293523","title":"An Interval Optimization Algorithm With Embedded Point Evolutionary Strategy and Its Application to Bounded Error Modeling","display_name":"An Interval Optimization Algorithm With Embedded Point Evolutionary Strategy and Its Application to Bounded Error Modeling","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383751151","doi":"https://doi.org/10.1109/access.2023.3293523"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3293523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293523","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10177156.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/6514899/10177156.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035047165","display_name":"Shouping Guan","orcid":"https://orcid.org/0000-0001-6471-2056"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shouping Guan","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6471-2056","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086489621","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0002-2373-7860"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2373-7860","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035047165"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0726824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"69409","last_page":"69422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9977999925613403,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9977999925613403,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958999752998352,"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/bounded-function","display_name":"Bounded function","score":0.6440143585205078},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6209478378295898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5945903062820435},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5692940950393677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5646942257881165},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5319960713386536},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5227489471435547},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5171498656272888},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5148021578788757},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5103434920310974},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5022118091583252},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.4165154695510864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3422107994556427}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6440143585205078},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6209478378295898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5945903062820435},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5692940950393677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5646942257881165},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5319960713386536},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5227489471435547},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5171498656272888},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5148021578788757},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5103434920310974},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5022118091583252},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4165154695510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3422107994556427},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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.2023.3293523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293523","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10177156.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:91c5d6638b774517a6a94dfa8dafbad8","is_oa":true,"landing_page_url":"https://doaj.org/article/91c5d6638b774517a6a94dfa8dafbad8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"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 11, Pp 69409-69422 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3293523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293523","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10177156.pdf","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":null,"license_id":null,"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/G1705196366","display_name":null,"funder_award_id":"62173072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383751151.pdf","grobid_xml":"https://content.openalex.org/works/W4383751151.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W176435614","https://openalex.org/W299611594","https://openalex.org/W1576660662","https://openalex.org/W1988535797","https://openalex.org/W1988900652","https://openalex.org/W2017151271","https://openalex.org/W2018411089","https://openalex.org/W2042253843","https://openalex.org/W2071772640","https://openalex.org/W2075607648","https://openalex.org/W2088465398","https://openalex.org/W2088876556","https://openalex.org/W2105217850","https://openalex.org/W2129480103","https://openalex.org/W2129724855","https://openalex.org/W2138537392","https://openalex.org/W2142128909","https://openalex.org/W2355073772","https://openalex.org/W2508626470","https://openalex.org/W2558150887","https://openalex.org/W2734414992","https://openalex.org/W2804678892","https://openalex.org/W2913537463","https://openalex.org/W2942487723","https://openalex.org/W3007026013","https://openalex.org/W3119981021","https://openalex.org/W3151690733","https://openalex.org/W3157546653","https://openalex.org/W3172818029","https://openalex.org/W3174538964","https://openalex.org/W3179641373","https://openalex.org/W3214405322","https://openalex.org/W3216498081","https://openalex.org/W4210250403","https://openalex.org/W4214923099","https://openalex.org/W4236958310","https://openalex.org/W4283715039","https://openalex.org/W4285116427","https://openalex.org/W4300989005","https://openalex.org/W6807116171"],"related_works":["https://openalex.org/W2992415251","https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2565094479","https://openalex.org/W2594301978","https://openalex.org/W2390829436","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,47,50,57,81,97,125,131,135,139,153,156,162,170,176,181],"problems":[3],"of":[4,49,138,164,180],"low":[5],"efficiency":[6],"and":[7,35,79,109,152,178],"difficulty":[8],"in":[9,13,72],"constructing":[10],"acceleration":[11,24],"devices":[12],"traditional":[14],"interval":[15],"optimization":[16,82],"algorithms":[17],"(IOAs),":[18],"this":[19],"paper":[20],"constructs":[21],"a":[22,28,38,119],"valid":[23],"device":[25],"based":[26],"on":[27,46,147],"more":[29,104],"concise":[30],"point":[31,70,90,105,115],"evolutionary":[32],"strategy":[33],"(ES),":[34],"then":[36,99],"proposes":[37],"novel":[39],"hybrid":[40],"IOA":[41],"(HIOA)":[42],"with":[43,83,169],"no":[44],"requirement":[45],"derivative":[48],"objective":[51],"function.":[52],"The":[53],"HIOA":[54,165],"first":[55],"divides":[56],"initial":[58],"search":[59,132],"area":[60],"into":[61],"<italic":[62],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</i>":[64],"equal":[65],"parts,":[66],"randomly":[67],"selects":[68,100],"multiple":[69],"individuals":[71,91,106],"each":[73],"subinterval":[74],"to":[75,92,96,107,123,128,155],"represent":[76],"their":[77],"information,":[78],"performs":[80],"fewer":[84],"iterations":[85],"using":[86],"ES":[87],"for":[88],"all":[89],"make":[93],"them":[94],"closer":[95],"optima;":[98],"reliable":[101,120],"subintervals":[102,112],"containing":[103],"split,":[108],"deletes":[110],"unreliable":[111],"without":[113],"any":[114],"individuals;":[116],"finally,":[117],"provides":[118],"upper":[121],"bound":[122],"direct":[124],"pruning":[126],"operation":[127],"further":[129],"improve":[130],"efficiency.":[133],"Furthermore,":[134],"convergence":[136],"property":[137],"proposed":[140],"algorithm":[141],"is":[142],"analyzed.":[143],"Extensive":[144],"numerical":[145],"experiments":[146],"several":[148],"typical":[149],"test":[150],"functions":[151],"application":[154],"bounded":[157],"error":[158],"parameter":[159],"estimation":[160],"demonstrate":[161],"superiority":[163],"by":[166],"comparing":[167],"it":[168],"existing":[171],"conventional":[172],"algorithms,":[173],"which":[174],"confirms":[175],"effectiveness":[177],"applicability":[179],"suggested":[182],"algorithm.":[183]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}