{"id":"https://openalex.org/W4401250728","doi":"https://doi.org/10.1007/s00521-024-10115-3","title":"Utilization of genetic algorithm in tuning the hyper-parameters of hybrid NN-based side-slip angle estimators","display_name":"Utilization of genetic algorithm in tuning the hyper-parameters of hybrid NN-based side-slip angle estimators","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4401250728","doi":"https://doi.org/10.1007/s00521-024-10115-3"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-024-10115-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10115-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-10115-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-10115-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103175801","display_name":"Mohamed G. Essa","orcid":"https://orcid.org/0000-0001-9950-7714"},"institutions":[{"id":"https://openalex.org/I4210149432","display_name":"Multi-Robot Systems Research Group","ror":"https://ror.org/05ra8rv47","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210149432"]},{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Mohamed G. Essa","raw_affiliation_strings":["Mechatronics Department, Faculty of Engineering and Materials Science, German University in Cairo, Cairo, Egypt","Multi-Robot Systems (MRS) Research Group, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Mechatronics Department, Faculty of Engineering and Materials Science, German University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I96823368"]},{"raw_affiliation_string":"Multi-Robot Systems (MRS) Research Group, Cairo, Egypt","institution_ids":["https://openalex.org/I4210149432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025295346","display_name":"Catherine M. Elias","orcid":"https://orcid.org/0000-0002-1444-9816"},"institutions":[{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]},{"id":"https://openalex.org/I4210149432","display_name":"Multi-Robot Systems Research Group","ror":"https://ror.org/05ra8rv47","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210149432"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Catherine M. Elias","raw_affiliation_strings":["Computer Science Department, Faculty of Media Engineering and Technology, German University in Cairo, Cairo, Egypt","Multi-Robot Systems (MRS) Research Group, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Media Engineering and Technology, German University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I96823368"]},{"raw_affiliation_string":"Multi-Robot Systems (MRS) Research Group, Cairo, Egypt","institution_ids":["https://openalex.org/I4210149432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063239454","display_name":"Omar M. Shehata","orcid":"https://orcid.org/0000-0002-3604-3534"},"institutions":[{"id":"https://openalex.org/I107720978","display_name":"Ain Shams University","ror":"https://ror.org/00cb9w016","country_code":"EG","type":"education","lineage":["https://openalex.org/I107720978"]},{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]},{"id":"https://openalex.org/I4210149432","display_name":"Multi-Robot Systems Research Group","ror":"https://ror.org/05ra8rv47","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210149432"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Omar M. Shehata","raw_affiliation_strings":["Mechatronics Department, Faculty of Engineering and Materials Science, German University in Cairo, Cairo, Egypt","Mechatronics Department, Faculty of Engineering, Ain Shams University Cairo, Cairo, Egypt","Multi-Robot Systems (MRS) Research Group, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Mechatronics Department, Faculty of Engineering and Materials Science, German University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I96823368"]},{"raw_affiliation_string":"Mechatronics Department, Faculty of Engineering, Ain Shams University Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I107720978"]},{"raw_affiliation_string":"Multi-Robot Systems (MRS) Research Group, Cairo, Egypt","institution_ids":["https://openalex.org/I4210149432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103175801"],"corresponding_institution_ids":["https://openalex.org/I4210149432","https://openalex.org/I96823368"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12545163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9767000079154968,"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/mean-squared-error","display_name":"Mean squared error","score":0.9007152318954468},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.870778501033783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5751187205314636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5547176003456116},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.49043533205986023},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4810112416744232},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4535178244113922},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4275832176208496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3597082495689392},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2816002368927002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2346706986427307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22526097297668457}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.9007152318954468},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.870778501033783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5751187205314636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547176003456116},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.49043533205986023},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4810112416744232},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4535178244113922},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4275832176208496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3597082495689392},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2816002368927002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2346706986427307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22526097297668457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-024-10115-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10115-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-10115-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-024-10115-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10115-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-024-10115-3.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324575","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401250728.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1822588171","https://openalex.org/W1988840818","https://openalex.org/W2032851905","https://openalex.org/W2032955564","https://openalex.org/W2067042986","https://openalex.org/W2171868700","https://openalex.org/W2508734701","https://openalex.org/W2801692819","https://openalex.org/W2896556344","https://openalex.org/W2898735088","https://openalex.org/W2903569991","https://openalex.org/W2907193459","https://openalex.org/W2913466160","https://openalex.org/W2985862567","https://openalex.org/W2986281739","https://openalex.org/W2989848042","https://openalex.org/W2990507952","https://openalex.org/W2991382915","https://openalex.org/W3170815615","https://openalex.org/W4200074998","https://openalex.org/W4229020353","https://openalex.org/W4244440284","https://openalex.org/W4394841794"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W1999706086","https://openalex.org/W2521753262","https://openalex.org/W2585209928","https://openalex.org/W2075897667","https://openalex.org/W3125536267","https://openalex.org/W2274645452","https://openalex.org/W2907746047"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,39,116],"solution":[5],"to":[6,59,136,181,236],"enhance":[7],"and":[8,30,86,174,198,214,218,247],"compare":[9],"different":[10,164],"neural":[11,19,23],"network":[12],"(NN)-based":[13],"side-slip":[14,142,250],"angle":[15,143],"estimators.":[16,271],"The":[17,68,89,106],"feed-forward":[18],"networks":[20],"(FFNNs),":[21],"recurrent":[22,32],"networks,":[24],"long":[25],"short-term":[26],"memory":[27],"units":[28,33],"(LSTMs),":[29],"gated":[31],"are":[34,109,131,179,261],"investigated.":[35],"However,":[36,201],"there":[37],"is":[38,53,96,159,223],"lack":[40],"in":[41,71,112,161,254],"the":[42,46,50,56,61,65,75,93,98,113,124,127,138,141,146,152,155,183,195,204,215,226,237,241,244,249,265,269],"selection":[43],"criteria":[44],"of":[45,77,80,92,115,140,154,163,243],"architectures\u2019":[47],"hyper-parameters.":[48],"Therefore,":[49],"genetic":[51],"algorithm":[52],"integrated":[54],"with":[55,120,232,257],"NN-based":[57],"estimators":[58,130,228],"find":[60],"optimal":[62,107,128],"hyper-parameters":[63,70],"for":[64,268],"studied":[66],"architectures.":[67],"tuned":[69],"this":[72],"work":[73],"include":[74],"number":[76,79],"neurons,":[78],"layers,":[81],"activation":[82],"function,":[83],"optimizer":[84],"type,":[85],"learning":[87],"rate.":[88],"objective":[90],"function":[91],"optimization":[94],"problem":[95],"minimizing":[97],"root-mean-square":[99],"error":[100,169],"(RMSE)":[101],"on":[102,190,210],"multiple":[103],"testing":[104],"data.":[105],"models":[108],"further":[110],"included":[111],"design":[114],"hybrid":[117,125,227],"NN":[118,129],"estimator":[119],"Kalman":[121],"filter.":[122],"In":[123],"estimators,":[126],"used":[132],"as":[133],"virtual":[134],"sensors":[135],"correct":[137],"prediction":[139],"resulting":[144],"from":[145],"mathematical":[147],"lateral":[148],"vehicle":[149],"model.":[150],"Eventually,":[151],"performance":[153],"best":[156],"selected":[157],"model":[158],"evaluated":[160],"terms":[162],"metrics;":[165],"mean":[166,168,171,175,185],"RMSE,":[167],"variance,":[170],"training":[172,197,217,266],"time,":[173],"estimation":[176,199,219,251],"time.":[177,200,220],"LSTMs":[178],"found":[180],"achieve":[182,203],"lowest":[184,205,216],"RMSE":[186,206,231],"while":[187,207],"being":[188,208],"tested":[189,209],"highly":[191],"generalized":[192,212],"data":[193,213],"yielding":[194],"highest":[196],"FFNNs":[202],"low":[211],"Meanwhile,":[221],"it":[222],"observed":[224],"that":[225],"achieved":[229],"lower":[230],"great":[233],"enhancement":[234],"compared":[235],"non-hybridized":[238],"ones":[239],"proving":[240],"effectiveness":[242],"proposed":[245],"approach":[246],"increasing":[248],"generalization":[252],"ability":[253],"unknown":[255],"environments":[256],"high":[258],"uncertainties,":[259],"which":[260],"not":[262],"covered":[263],"by":[264],"dataset":[267],"NNs":[270]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}