{"id":"https://openalex.org/W3046866357","doi":"https://doi.org/10.1145/3377929.3398144","title":"A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training","display_name":"A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046866357","doi":"https://doi.org/10.1145/3377929.3398144","mag":"3046866357"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3398144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3398144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/A_benchmark_of_recent_population-based_metaheuristic_algorithms_for_multi-layer_neural_network_training/20630994","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019996443","display_name":"Seyed Jalaleddin Mousavirad","orcid":"https://orcid.org/0000-0001-8661-7578"},"institutions":[{"id":"https://openalex.org/I39470171","display_name":"University of Ontario Institute of Technology","ror":"https://ror.org/016zre027","country_code":"CA","type":"education","lineage":["https://openalex.org/I39470171"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Seyed Jalaleddin Mousavirad","raw_affiliation_strings":["Ontario Tech University, Oshawa, Canada"],"affiliations":[{"raw_affiliation_string":"Ontario Tech University, Oshawa, Canada","institution_ids":["https://openalex.org/I39470171"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105462955","display_name":"Gerald Schaefer","orcid":"https://orcid.org/0000-0003-1292-7674"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gerald Schaefer","raw_affiliation_strings":["Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077932626","display_name":"Seyed Mohammad Jafar Jalali","orcid":"https://orcid.org/0000-0002-2169-4350"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Seyed Mohammad Jafar Jalali","raw_affiliation_strings":["Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059308026","display_name":"Iakov Korovin","orcid":"https://orcid.org/0000-0001-5192-8835"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Iakov Korovin","raw_affiliation_strings":["Souther Federal University, Taganrog, Russia"],"affiliations":[{"raw_affiliation_string":"Souther Federal University, Taganrog, Russia","institution_ids":["https://openalex.org/I137534880"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019996443"],"corresponding_institution_ids":["https://openalex.org/I39470171"],"apc_list":null,"apc_paid":null,"fwci":5.1415,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96257146,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1402","last_page":"1408"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9900000095367432,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9879000186920166,"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/firefly-algorithm","display_name":"Firefly algorithm","score":0.7386734485626221},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.6852052807807922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6247915625572205},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6104859113693237},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5773999691009521},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5224320292472839},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4961784780025482},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4812052547931671},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47380179166793823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46961408853530884},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4691416621208191},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.4475814998149872},{"id":"https://openalex.org/keywords/imperialist-competitive-algorithm","display_name":"Imperialist competitive algorithm","score":0.43500640988349915},{"id":"https://openalex.org/keywords/bat-algorithm","display_name":"Bat algorithm","score":0.42716753482818604},{"id":"https://openalex.org/keywords/parallel-metaheuristic","display_name":"Parallel metaheuristic","score":0.41867581009864807},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35883498191833496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3377940058708191},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.29091575741767883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16657036542892456}],"concepts":[{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.7386734485626221},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.6852052807807922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247915625572205},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6104859113693237},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5773999691009521},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5224320292472839},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4961784780025482},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4812052547931671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47380179166793823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46961408853530884},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4691416621208191},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4475814998149872},{"id":"https://openalex.org/C101219045","wikidata":"https://www.wikidata.org/wiki/Q10859646","display_name":"Imperialist competitive algorithm","level":4,"score":0.43500640988349915},{"id":"https://openalex.org/C5351157","wikidata":"https://www.wikidata.org/wiki/Q4868485","display_name":"Bat algorithm","level":3,"score":0.42716753482818604},{"id":"https://openalex.org/C28767586","wikidata":"https://www.wikidata.org/wiki/Q7135006","display_name":"Parallel metaheuristic","level":4,"score":0.41867581009864807},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35883498191833496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3377940058708191},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.29091575741767883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16657036542892456},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3377929.3398144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3398144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30160560","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20630994","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_benchmark_of_recent_population-based_metaheuristic_algorithms_for_multi-layer_neural_network_training/20630994","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20630994","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_benchmark_of_recent_population-based_metaheuristic_algorithms_for_multi-layer_neural_network_training/20630994","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8385614362","display_name":null,"funder_award_id":"18-29-03225","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"}],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W414544266","https://openalex.org/W576725583","https://openalex.org/W1490180010","https://openalex.org/W1595159159","https://openalex.org/W2001979953","https://openalex.org/W2002302337","https://openalex.org/W2031014442","https://openalex.org/W2032784723","https://openalex.org/W2033731173","https://openalex.org/W2045050140","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2098477891","https://openalex.org/W2101905272","https://openalex.org/W2151554678","https://openalex.org/W2232317135","https://openalex.org/W2290883490","https://openalex.org/W2508496315","https://openalex.org/W2585392941","https://openalex.org/W2605170521","https://openalex.org/W2607700698","https://openalex.org/W2610544564","https://openalex.org/W2738900493","https://openalex.org/W2897772195","https://openalex.org/W2946326863","https://openalex.org/W2953312437","https://openalex.org/W2983995769","https://openalex.org/W4233391549","https://openalex.org/W4247012300","https://openalex.org/W4292919214"],"related_works":["https://openalex.org/W2234623360","https://openalex.org/W2792775317","https://openalex.org/W2570351209","https://openalex.org/W2550489437","https://openalex.org/W2954145607","https://openalex.org/W2904647070","https://openalex.org/W2060040920","https://openalex.org/W2101812529","https://openalex.org/W2963103847","https://openalex.org/W4388562115"],"abstract_inverted_index":{"Multi-layer":[0],"neural":[1,84],"networks":[2],"(MLNNs)":[3],"are":[4,22],"extensively":[5],"used":[6],"in":[7,35,58,61],"many":[8],"industrial":[9],"applications.":[10],"Training":[11],"is":[12,43],"the":[13,59,66,79],"crucial":[14],"task":[15],"for":[16,83],"MLNNs.":[17],"While":[18],"gradient":[19],"descent-based":[20],"approaches":[21],"most":[23,80],"commonly":[24],"employed":[25],"here,":[26],"they":[27],"suffer":[28],"from":[29],"drawbacks":[30],"such":[31,53],"as":[32,74,76],"getting":[33],"stuck":[34],"local":[36],"optima.":[37],"One":[38],"approach":[39],"to":[40,44],"address":[41],"this":[42,62],"employ":[45],"population-based":[46],"metaheuristic":[47,70],"algorithms.":[48,154],"Since":[49],"a":[50],"variety":[51],"of":[52,68,78],"algorithms":[54],"have":[55],"been":[56],"proposed":[57],"literature,":[60],"paper":[63],"we":[64,89],"benchmark":[65],"performance":[67,150],"15":[69],"algorithms,":[71,82],"including":[72],"state-of-the-art":[73],"well":[75],"some":[77],"recent":[81],"network":[85],"training.":[86],"In":[87],"particular,":[88],"evaluate":[90],"particle":[91],"swarm":[92,144],"optimisation":[93,135,139],"(PSO),":[94],"differential":[95],"evolution":[96],"(DE),":[97],"artificial":[98],"bee":[99],"colony":[100],"(ABC),":[101],"imperialist":[102],"competitive":[103],"algorithm":[104,111,114,117,128,132,136,140,145],"(ICA),":[105],"cuckoo":[106],"search":[107,110],"(CS),":[108],"gravitational":[109],"(GSA),":[112],"bat":[113],"(BA),":[115],"firefly":[116],"(FA),":[118],"grey":[119],"wolf":[120],"optimiser":[121,125],"(GWO),":[122],"ant":[123],"lion":[124],"(ALO),":[126],"dragonfly":[127],"(DA),":[129],"sine":[130],"cosine":[131],"(SCA),":[133],"whale":[134],"(WOA),":[137],"grasshopper":[138],"(GOA),":[141],"and":[142,147],"salp":[143],"(SSA),":[146],"assess":[148],"their":[149],"on":[151],"different":[152],"classification":[153]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":11}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}