{"id":"https://openalex.org/W4287890107","doi":"https://doi.org/10.1109/access.2022.3193396","title":"Exponential Particle Swarm Optimization for Global Optimization","display_name":"Exponential Particle Swarm Optimization for Global Optimization","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4287890107","doi":"https://doi.org/10.1109/access.2022.3193396"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3193396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09837898.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/ielx7/6287639/6514899/09837898.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002879031","display_name":"Khelil Kassoul","orcid":"https://orcid.org/0000-0002-0792-0534"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Khelil Kassoul","raw_affiliation_strings":["Geneva School of Economics and Management (GSEM), University of Geneva, Geneva, Switzerland","Geneva School of Economics and Management, GSEM, University of Geneva, Geneva 4, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-0792-0534","affiliations":[{"raw_affiliation_string":"Geneva School of Economics and Management (GSEM), University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"Geneva School of Economics and Management, GSEM, University of Geneva, Geneva 4, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020998406","display_name":"Nicolas Zufferey","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Nicolas Zufferey","raw_affiliation_strings":["Geneva School of Economics and Management (GSEM), University of Geneva, Geneva, Switzerland","Geneva School of Economics and Management, GSEM, University of Geneva, Geneva 4, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geneva School of Economics and Management (GSEM), University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"Geneva School of Economics and Management, GSEM, University of Geneva, Geneva 4, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000570481","display_name":"Naoufel Cheikhrouhou","orcid":"https://orcid.org/0000-0003-2497-2528"},"institutions":[{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Naoufel Cheikhrouhou","raw_affiliation_strings":["Geneva School of Business Administration, University of Applied Sciences Western Switzerland, HES-SO, Geneva, Switzerland","IFM Business School, Geneva, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-2497-2528","affiliations":[{"raw_affiliation_string":"Geneva School of Business Administration, University of Applied Sciences Western Switzerland, HES-SO, Geneva, Switzerland","institution_ids":["https://openalex.org/I173439891"]},{"raw_affiliation_string":"IFM Business School, Geneva, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053691175","display_name":"Samir Brahim Belhaouari","orcid":"https://orcid.org/0000-0003-2336-0490"},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Samir Brahim Belhaouari","raw_affiliation_strings":["Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Ar-Rayyan, Qatar"],"raw_orcid":"https://orcid.org/0000-0003-2336-0490","affiliations":[{"raw_affiliation_string":"Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Ar-Rayyan, Qatar","institution_ids":["https://openalex.org/I4210144839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002879031"],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.7217,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95451076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"78320","last_page":"78344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958000183105469,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7676903605461121},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.7151919007301331},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6662558913230896},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.6535336375236511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5425686240196228},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5393580794334412},{"id":"https://openalex.org/keywords/derivative-free-optimization","display_name":"Derivative-free optimization","score":0.48281726241111755},{"id":"https://openalex.org/keywords/parallel-metaheuristic","display_name":"Parallel metaheuristic","score":0.4804772436618805},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4525415897369385},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4432290196418762},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4404488205909729},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4251975417137146},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4161268472671509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3894791901111603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34807902574539185}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7676903605461121},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7151919007301331},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6662558913230896},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6535336375236511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425686240196228},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5393580794334412},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.48281726241111755},{"id":"https://openalex.org/C28767586","wikidata":"https://www.wikidata.org/wiki/Q7135006","display_name":"Parallel metaheuristic","level":4,"score":0.4804772436618805},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4525415897369385},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4432290196418762},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4404488205909729},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4251975417137146},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4161268472671509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3894791901111603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34807902574539185},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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":5,"locations":[{"id":"doi:10.1109/access.2022.3193396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09837898.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:unige.ch:unige:162749","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:162749","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISSN: 2169-3536","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5d10899fcd9746e887ece25883d08c40","is_oa":true,"landing_page_url":"https://doaj.org/article/5d10899fcd9746e887ece25883d08c40","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 10, Pp 78320-78344 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/25688790","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Exponential_Particle_Swarm_Optimization_for_Global_Optimization/25688790","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:hesso.tind.io:10723","is_oa":false,"landing_page_url":"http://arodes.hes-so.ch/record/10723","pdf_url":null,"source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arodes.hes-so.ch/record/10723","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3193396","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3193396","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09837898.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":[],"funders":[{"id":"https://openalex.org/F4320323830","display_name":"Universit\u00e9 de Gen\u00e8ve","ror":"https://ror.org/01swzsf04"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287890107.pdf","grobid_xml":"https://content.openalex.org/works/W4287890107.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1044919269","https://openalex.org/W1876848560","https://openalex.org/W1907706552","https://openalex.org/W1972316166","https://openalex.org/W1986834168","https://openalex.org/W1990318222","https://openalex.org/W2007351764","https://openalex.org/W2025500642","https://openalex.org/W2048304335","https://openalex.org/W2061438946","https://openalex.org/W2074195549","https://openalex.org/W2137514952","https://openalex.org/W2139339670","https://openalex.org/W2149815769","https://openalex.org/W2152195021","https://openalex.org/W2162012556","https://openalex.org/W2165299997","https://openalex.org/W2168819089","https://openalex.org/W2169245194","https://openalex.org/W2183843206","https://openalex.org/W2187150571","https://openalex.org/W2290883490","https://openalex.org/W2529677205","https://openalex.org/W2613818156","https://openalex.org/W2730253853","https://openalex.org/W2737226411","https://openalex.org/W2738532682","https://openalex.org/W2765281216","https://openalex.org/W2768064490","https://openalex.org/W2789930262","https://openalex.org/W2800384987","https://openalex.org/W2893066337","https://openalex.org/W2896844800","https://openalex.org/W2908286818","https://openalex.org/W2912673828","https://openalex.org/W2918748172","https://openalex.org/W2919979744","https://openalex.org/W2940887500","https://openalex.org/W2952389999","https://openalex.org/W2953267346","https://openalex.org/W2964594041","https://openalex.org/W2970404044","https://openalex.org/W2970506519","https://openalex.org/W2979736100","https://openalex.org/W2984153401","https://openalex.org/W2985845430","https://openalex.org/W3003558046","https://openalex.org/W3013599931","https://openalex.org/W3035615221","https://openalex.org/W3083328146","https://openalex.org/W3093928396","https://openalex.org/W3103077770","https://openalex.org/W3112999317","https://openalex.org/W3114330512","https://openalex.org/W3118656546","https://openalex.org/W3120321962","https://openalex.org/W3133899202","https://openalex.org/W3138074852","https://openalex.org/W3173643841","https://openalex.org/W3177263888","https://openalex.org/W3203480234","https://openalex.org/W3206776250","https://openalex.org/W4221059823","https://openalex.org/W4253572765"],"related_works":["https://openalex.org/W2113650225","https://openalex.org/W2393398569","https://openalex.org/W2140214100","https://openalex.org/W2161494499","https://openalex.org/W3134373824","https://openalex.org/W2385982498","https://openalex.org/W2134114282","https://openalex.org/W1993212790","https://openalex.org/W2131643806","https://openalex.org/W1585231513"],"abstract_inverted_index":{"Nature-inspired":[0],"metaheuristics":[1],"have":[2,197],"been":[3,168,198],"extensively":[4],"investigated":[5],"to":[6,24,29,82,200,221],"solve":[7],"challenging":[8],"optimization":[9,187,238],"problems.":[10,189],"Particle":[11,47],"Swarm":[12,48],"Optimization":[13,49],"(PSO)":[14],"is":[15,111,130],"one":[16],"of":[17,36,93,97,145,158,205,229,233],"the":[18,54,58,62,86,94,102,114,133,143,146,159,202,206,215,222,227,234],"most":[19],"famous":[20],"nature-inspired":[21],"algorithms":[22],"owing":[23],"its":[25],"simplicity":[26],"and":[27,69,89,104,117,148,185,194,210,225,237],"ability":[28],"be":[30],"used":[31],"in":[32,85,155,231],"a":[33,71,118,125,172],"wide":[34],"range":[35,96],"applications.":[37],"This":[38],"paper":[39],"presents":[40],"an":[41,77,90],"extended":[42],"PSO":[43],"variant,":[44],"namely,":[45],"Exponential":[46],"(ExPSO).":[50],"To":[51],"effectively":[52],"explore":[53],"whole":[55],"search":[56,73,87,106,161,179,203,217,223],"space,":[57],"proposed":[59,134],"algorithm":[60,138],"divides":[61],"swarm":[63],"population":[64],"into":[65,113,132],"three":[66],"equal":[67],"subpopulations":[68],"employs":[70],"new":[72,119],"strategy":[74,110,218],"based":[75],"on":[76],"exponential":[78,216],"function":[79],"(permitting":[80],"particles":[81],"make":[83],"leaps":[84],"space)":[88],"adapted":[91],"control":[92],"velocity":[95,115,236],"each":[98],"particle":[99],"(to":[100],"balance":[101],"exploration":[103],"exploitation":[105],"phases).":[107],"The":[108,136,190,208],"leaping":[109],"integrated":[112,131],"equation":[116],"linear":[120],"decreasing":[121],"cognitive":[122],"parameter":[123],"(including":[124],"dynamic":[126],"inertia":[127],"weight":[128],"strategy)":[129],"method.":[135],"developed":[137],"allows":[139],"large":[140],"jumps":[141,151],"at":[142],"beginning":[144],"search,":[147],"then":[149],"small":[150],"for":[152],"further":[153],"improvements":[154],"specific":[156],"regions":[157],"solution":[160],"space.":[162],"Our":[163],"variant":[164],"approach,":[165],"ExPSO,":[166],"has":[167],"intensively":[169],"tested":[170],"through":[171],"comparison":[173],"with":[174],"eight":[175],"other":[176],"well-known":[177],"heuristic":[178],"algorithms,":[180],"over":[181],"29":[182],"benchmark":[183],"problems,":[184],"real":[186],"engineering":[188],"Wilcoxon":[191],"signed-rank":[192],"test":[193],"Friedman":[195],"rank":[196],"applied":[199],"analyze":[201],"performance":[204],"algorithms.":[207],"comparisons":[209],"statistical":[211],"results":[212],"show":[213],"that":[214],"significantly":[219],"contributes":[220],"process":[224],"proves":[226],"superiority":[228],"ExPSO":[230],"terms":[232],"convergence":[235],"accuracy.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
