{"id":"https://openalex.org/W3048838204","doi":"https://doi.org/10.1016/j.ifacol.2020.06.109","title":"Artificial Neural Network based Hybrid Metaheuristics for Reliability Analysis","display_name":"Artificial Neural Network based Hybrid Metaheuristics for Reliability Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3048838204","doi":"https://doi.org/10.1016/j.ifacol.2020.06.109","mag":"3048838204"},"language":"en","primary_location":{"id":"doi:10.1016/j.ifacol.2020.06.109","doi":"https://doi.org/10.1016/j.ifacol.2020.06.109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2020.06.109","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.ifacol.2020.06.109","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056407183","display_name":"Aziz Hraiba","orcid":"https://orcid.org/0000-0002-3286-5709","observed_orcids":["https://orcid.org/0000-0002-3286-5709"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"A. Hraiba","raw_affiliation_strings":["Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069215475","display_name":"Achraf Touil","orcid":"https://orcid.org/0000-0003-2821-4820","observed_orcids":["https://orcid.org/0000-0003-2821-4820"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"A. Touil","raw_affiliation_strings":["Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004797255","display_name":"Ahmed Mousrij","orcid":"https://orcid.org/0000-0002-4555-6761","observed_orcids":["https://orcid.org/0000-0002-4555-6761"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"A. Mousrij","raw_affiliation_strings":["Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Engineering, of Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004797255","https://openalex.org/A5056407183","https://openalex.org/A5069215475"],"corresponding_institution_ids":["https://openalex.org/I4210145365"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":0.7327,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59602195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"53","issue":"1","first_page":"654","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.8363999724388123,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.8363999724388123,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.09309999644756317,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.02889999933540821,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/structural-reliability-analysis","display_name":"structural reliability analysis","score":0.9179999828338623},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8149999976158142},{"id":"https://openalex.org/keywords/first-order-reliability-method","display_name":"first-order reliability method","score":0.9860000014305115},{"id":"https://openalex.org/keywords/moth-flame-optimization","display_name":"moth-flame optimization","score":0.8040000200271606},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.847000002861023},{"id":"https://openalex.org/keywords/limit-state-function-approximation","display_name":"limit state function approximation","score":0.8169999718666077},{"id":"https://openalex.org/keywords/reliability-index","display_name":"reliability index","score":0.9039999842643738},{"id":"https://openalex.org/keywords/failure-probability","display_name":"failure probability","score":0.9909999966621399}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7178986072540283},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6865515112876892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501556038856506},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.622886598110199},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5057501792907715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4349318742752075},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4316335618495941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38319987058639526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3668431043624878},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36448705196380615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20151901245117188},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ifacol.2020.06.109","doi":"https://doi.org/10.1016/j.ifacol.2020.06.109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2020.06.109","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.ifacol.2020.06.109","doi":"https://doi.org/10.1016/j.ifacol.2020.06.109","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ifacol.2020.06.109","pdf_url":null,"source":{"id":"https://openalex.org/S2898405271","display_name":"IFAC-PapersOnLine","issn_l":"2405-8963","issn":["2405-8963","2405-8971"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IFAC-PapersOnLine","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W368806705","https://openalex.org/W883434633","https://openalex.org/W1905990843","https://openalex.org/W1964038979","https://openalex.org/W1991565519","https://openalex.org/W2010059576","https://openalex.org/W2033731173","https://openalex.org/W2067829701","https://openalex.org/W2115917397","https://openalex.org/W2151554678","https://openalex.org/W2290402024","https://openalex.org/W2806105427","https://openalex.org/W2915763718","https://openalex.org/W7147119850"],"related_works":["https://openalex.org/W3043250876","https://openalex.org/W1991548802","https://openalex.org/W2352916332","https://openalex.org/W2358428353","https://openalex.org/W7222453313","https://openalex.org/W2352610821","https://openalex.org/W2005272025","https://openalex.org/W4390050922","https://openalex.org/W2365268835","https://openalex.org/W2023769053"],"abstract_inverted_index":{"In":[0,33,83],"this":[1],"paper,":[2],"we":[3,37,135],"devoted":[4],"the":[5,15,34,39,58,68,73,79,87,90,130,138,149],"reliability":[6,17,74,94,121],"analysis":[7,122],"by":[8,43,46],"integrating":[9],"artificial":[10],"neural":[11],"network":[12],"(ANN)":[13],"and":[14],"first-order":[16],"method":[18,60],"(FORM)":[19],"in":[20,67,93],"a":[21,47,102,143],"single":[22],"framework.":[23],"The":[24,108,117],"proposed":[25,59,91],"framework":[26,92],"is":[27,63,126],"based":[28,52,123],"on":[29,53,124],"two":[30,48],"main":[31],"steps.":[32],"first":[35],"step,":[36],"approximate":[38],"state":[40],"limit":[41],"function":[42,145],"ANN":[44],"trained":[45],"stage":[49],"eagle":[50],"strategy":[51],"moth":[54],"flame":[55],"optimizer.":[56],"Then":[57],"named":[61],"ES-MFO":[62,141],"combined":[64],"with":[65],"FORM":[66],"second":[69],"step":[70],"to":[71,85,112],"calculate":[72],"index":[75],"as":[76,78,99,101],"well":[77,100],"probability":[80],"of":[81,89],"failure.":[82],"order":[84],"investigate":[86],"efficiencies":[88],"analysis,":[95],"four":[96,113],"classic":[97],"examples,":[98],"roof":[103],"truss":[104],"model":[105],"are":[106,110],"employed.":[107],"results":[109,118],"compared":[111],"well-known":[114],"heuristic":[115,132],"algorithms.":[116,133],"show":[119],"that":[120],"ANN-FORM-ES-MFO":[125],"significantly":[127],"better":[128],"than":[129],"current":[131],"Also,":[134],"have":[136],"tested":[137],"new":[139],"trainer":[140],"using":[142],"selected":[144],"approximation":[146],"datasets":[147],"from":[148],"UCI":[150],"machine-learning":[151],"repository.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-08-18T00:00:00"}