{"id":"https://openalex.org/W4409581530","doi":"https://doi.org/10.1109/access.2025.3562367","title":"Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization","display_name":"Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409581530","doi":"https://doi.org/10.1109/access.2025.3562367"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3562367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562367","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.2025.3562367","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060873940","display_name":"Absalom E. Ezugwu","orcid":"https://orcid.org/0000-0002-3721-3400"},"institutions":[{"id":"https://openalex.org/I27765905","display_name":"North-West University","ror":"https://ror.org/010f1sq29","country_code":"ZA","type":"education","lineage":["https://openalex.org/I27765905"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Absalom El-Shamir Ezugwu","raw_affiliation_strings":["Unit for Data Science and Computing, North-West University, Potchefstroom, South Africa","Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-3721-3400","affiliations":[{"raw_affiliation_string":"Unit for Data Science and Computing, North-West University, Potchefstroom, South Africa","institution_ids":["https://openalex.org/I27765905"]},{"raw_affiliation_string":"Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, South Africa","institution_ids":["https://openalex.org/I27765905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039005612","display_name":"Olaide N. Oyelade","orcid":"https://orcid.org/0000-0003-1252-0719"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Olaide Nathaniel Oyelade","raw_affiliation_strings":["School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K","School of Electronics, Electrical Engineering and Computer Science, Queen’s University, Belfast, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K","institution_ids":["https://openalex.org/I126231945"]},{"raw_affiliation_string":"School of Electronics, Electrical Engineering and Computer Science, Queen’s University, Belfast, United Kingdom","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019566409","display_name":"Jeffrey O. Agushaka","orcid":"https://orcid.org/0000-0001-8742-7522"},"institutions":[{"id":"https://openalex.org/I2800437794","display_name":"Federal University Lafia","ror":"https://ror.org/03p5jz112","country_code":"NG","type":"education","lineage":["https://openalex.org/I2800437794"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Jeffrey Ovre Agushaka","raw_affiliation_strings":["Department of Computer Science, Federal University of Lafia, Lafia, Nigeria"],"raw_orcid":"https://orcid.org/0000-0001-8742-7522","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Federal University of Lafia, Lafia, Nigeria","institution_ids":["https://openalex.org/I2800437794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075411702","display_name":"Apu Kumar Saha","orcid":"https://orcid.org/0000-0002-3475-018X"},"institutions":[{"id":"https://openalex.org/I196486160","display_name":"National Institute of Technology Agartala","ror":"https://ror.org/03swyrn62","country_code":"IN","type":"education","lineage":["https://openalex.org/I196486160"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Apu Kumar Saha","raw_affiliation_strings":["Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India"],"raw_orcid":"https://orcid.org/0000-0002-3475-018X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Institute of Technology Agartala, Agartala, Tripura, India","institution_ids":["https://openalex.org/I196486160"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":1.1245,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8264934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"13","issue":null,"first_page":"70138","last_page":"70178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.48559999465942383,"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":0.48559999465942383,"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/computer-science","display_name":"Computer science","score":0.7423450946807861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598992109298706},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5185045003890991},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4867132008075714},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.46788662672042847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423450946807861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598992109298706},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5185045003890991},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4867132008075714},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.46788662672042847}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3562367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562367","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:66d21cbb508e4fb7a2b7f1b4972ac694","is_oa":true,"landing_page_url":"https://doaj.org/article/66d21cbb508e4fb7a2b7f1b4972ac694","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 13, Pp 70138-70178 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3562367","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3562367","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W42525004","https://openalex.org/W1120107613","https://openalex.org/W1595159159","https://openalex.org/W1626834557","https://openalex.org/W1659842140","https://openalex.org/W1950681193","https://openalex.org/W1976744965","https://openalex.org/W1999284878","https://openalex.org/W2003890325","https://openalex.org/W2007351764","https://openalex.org/W2025148441","https://openalex.org/W2035108304","https://openalex.org/W2039577332","https://openalex.org/W2061438946","https://openalex.org/W2066009943","https://openalex.org/W2072955302","https://openalex.org/W2118044993","https://openalex.org/W2122821937","https://openalex.org/W2138432470","https://openalex.org/W2151554678","https://openalex.org/W2154943049","https://openalex.org/W2171211995","https://openalex.org/W2219898335","https://openalex.org/W2232317135","https://openalex.org/W2290883490","https://openalex.org/W2598515728","https://openalex.org/W2607700698","https://openalex.org/W2738900493","https://openalex.org/W2783585128","https://openalex.org/W2783827472","https://openalex.org/W2830592823","https://openalex.org/W2888315729","https://openalex.org/W2889545660","https://openalex.org/W2892094891","https://openalex.org/W2904115387","https://openalex.org/W2913907555","https://openalex.org/W2914717758","https://openalex.org/W2922792316","https://openalex.org/W2953450005","https://openalex.org/W2962182762","https://openalex.org/W2972093761","https://openalex.org/W2988785655","https://openalex.org/W2998553334","https://openalex.org/W3002566578","https://openalex.org/W3007689421","https://openalex.org/W3014108408","https://openalex.org/W3029408214","https://openalex.org/W3033618701","https://openalex.org/W3042373675","https://openalex.org/W3090396243","https://openalex.org/W3091866490","https://openalex.org/W3117957642","https://openalex.org/W3119051141","https://openalex.org/W3127432888","https://openalex.org/W3130051164","https://openalex.org/W3135241484","https://openalex.org/W3135934252","https://openalex.org/W3139484821","https://openalex.org/W3158031954","https://openalex.org/W3159134414","https://openalex.org/W3159894513","https://openalex.org/W3163224501","https://openalex.org/W3177385673","https://openalex.org/W3178368829","https://openalex.org/W3178594337","https://openalex.org/W3192838856","https://openalex.org/W3195528727","https://openalex.org/W3204562155","https://openalex.org/W3211562368","https://openalex.org/W4210401277","https://openalex.org/W4210747461","https://openalex.org/W4211036921","https://openalex.org/W4220710779","https://openalex.org/W4220772655","https://openalex.org/W4246565613","https://openalex.org/W4251464645","https://openalex.org/W4285029663","https://openalex.org/W4285492978","https://openalex.org/W4285585607","https://openalex.org/W4306933079","https://openalex.org/W4308159588","https://openalex.org/W4310553653","https://openalex.org/W4313398549","https://openalex.org/W4317907955","https://openalex.org/W4323056472","https://openalex.org/W4366091323","https://openalex.org/W4375947526","https://openalex.org/W4382137125","https://openalex.org/W4387745472","https://openalex.org/W4390405245","https://openalex.org/W4391014866","https://openalex.org/W4392130001","https://openalex.org/W4392900259","https://openalex.org/W4399714943","https://openalex.org/W4402527245","https://openalex.org/W4402600931","https://openalex.org/W4404443379","https://openalex.org/W4405893472","https://openalex.org/W4406212478","https://openalex.org/W4406933825","https://openalex.org/W4407052904","https://openalex.org/W4407449430","https://openalex.org/W6600754543","https://openalex.org/W6624099699","https://openalex.org/W6696126189"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"This":[0,58],"paper":[1],"introduces":[2],"the":[3,25,31,104,130,141,172],"Susceptible-Infected-Removed":[4],"Optimizer":[5],"(SIRO),":[6],"a":[7,155,176],"novel":[8],"learned":[9],"heuristic":[10],"inspired":[11],"by":[12],"biological":[13],"systems":[14],"and":[15,34,50,55,67,119,122,149,162,186],"deep":[16,45],"learning":[17,46,177],"techniques.":[18],"SIRO":[19,43,98,108,153],"models":[20],"its":[21,41,48,167],"search":[22],"process":[23],"after":[24],"SIR":[26],"epidemiological":[27],"compartmental":[28],"model,":[29],"predicting":[30],"susceptibility,":[32],"infection,":[33],"recovery":[35],"dynamics":[36],"of":[37,138,157,160,164,174],"solutions.":[38],"To":[39],"enhance":[40],"efficiency,":[42,185],"integrates":[44],"into":[47,179],"initialization":[49],"parameter":[51],"setting,":[52],"enabling":[53],"intelligent":[54],"adaptive":[56],"behavior.":[57],"hybridization":[59],"improves":[60],"solution":[61],"quality,":[62],"accelerates":[63],"convergence,":[64],"enhances":[65],"robustness,":[66],"reduces":[68],"computational":[69,184],"costs.":[70],"The":[71],"algorithm\u2019s":[72],"performance":[73,90,187],"was":[74,109],"evaluated":[75],"using":[76],"CEC":[77],"2017":[78],"benchmark":[79],"functions,":[80],"demonstrating":[81],"superior":[82,182],"results":[83,170],"in":[84],"hybrid":[85],"functions":[86],"(C1-C28)":[87],"despite":[88],"moderate":[89],"on":[91,111],"traditional":[92],"CEC1-CEC14":[93],"functions.":[94],"Friedman\u2019s":[95],"test":[96],"ranked":[97],"4th":[99],"overall,":[100],"with":[101],"SSA":[102],"as":[103],"top-performing":[105],"algorithm.":[106],"Additionally,":[107],"tested":[110],"real-world":[112],"optimization":[113,190],"problems,":[114],"including":[115],"mechanical":[116],"engineering":[117],"design":[118],"hyperparameter":[120],"tuning":[121],"feature":[123],"selection":[124],"for":[125],"medical":[126],"image":[127],"classification.":[128],"In":[129],"classification":[131],"task,":[132],"SIRO-enhanced":[133],"CNN":[134,145],"achieved":[135],"an":[136],"accuracy":[137],"0.86":[139],"at":[140],"5th":[142],"epoch,":[143],"outperforming":[144],"(0.66),":[146],"CNN-GA":[147],"(0.76),":[148],"CNN-WOA":[150],"(0.75).":[151],"Furthermore,":[152],"reported":[154],"precision":[156],"0.96,":[158],"recall":[159],"1.0,":[161],"F1-score":[163],"0.98,":[165],"highlighting":[166],"effectiveness.":[168],"These":[169],"validate":[171],"benefits":[173],"integrating":[175],"mechanism":[178],"SIRO,":[180],"yielding":[181],"precision,":[183],"over":[188],"conventional":[189],"approaches.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}