{"id":"https://openalex.org/W3016998144","doi":"https://doi.org/10.1145/3350532","title":"Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron","display_name":"Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3016998144","doi":"https://doi.org/10.1145/3350532","mag":"3016998144"},"language":"en","primary_location":{"id":"doi:10.1145/3350532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350532","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089948156","display_name":"Utkarsh Agrawal","orcid":"https://orcid.org/0000-0002-4902-6610"},"institutions":[{"id":"https://openalex.org/I2799452066","display_name":"Maharaja Engineering College","ror":"https://ror.org/034pbde03","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799452066","https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utkarsh Agrawal","raw_affiliation_strings":["Maharaja Agrasen Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maharaja Agrasen Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I2799452066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053555464","display_name":"Jatin Arora","orcid":"https://orcid.org/0000-0002-4420-2486"},"institutions":[{"id":"https://openalex.org/I2799452066","display_name":"Maharaja Engineering College","ror":"https://ror.org/034pbde03","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799452066","https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jatin Arora","raw_affiliation_strings":["Maharaja Agrasen Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maharaja Agrasen Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I2799452066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101901792","display_name":"Rahul Singh","orcid":"https://orcid.org/0000-0002-3889-8456"},"institutions":[{"id":"https://openalex.org/I2799452066","display_name":"Maharaja Engineering College","ror":"https://ror.org/034pbde03","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799452066","https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Singh","raw_affiliation_strings":["Maharaja Agrasen Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maharaja Agrasen Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I2799452066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034853815","display_name":"Deepak Gupta","orcid":"https://orcid.org/0000-0002-3019-7161"},"institutions":[{"id":"https://openalex.org/I2799452066","display_name":"Maharaja Engineering College","ror":"https://ror.org/034pbde03","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799452066","https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Gupta","raw_affiliation_strings":["Maharaja Agrasen Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maharaja Agrasen Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I2799452066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089689368","display_name":"Ashish Khanna","orcid":"https://orcid.org/0000-0002-8418-3929"},"institutions":[{"id":"https://openalex.org/I2799452066","display_name":"Maharaja Engineering College","ror":"https://ror.org/034pbde03","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799452066","https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Khanna","raw_affiliation_strings":["Maharaja Agrasen Institute of Technology, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maharaja Agrasen Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I2799452066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005282924","display_name":"Aditya Khamparia","orcid":"https://orcid.org/0000-0001-9019-8230"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Khamparia","raw_affiliation_strings":["Lovely Professional University, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lovely Professional University, Punjab, India","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3511,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93537259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"1s","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"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/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9909999966621399,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6512593626976013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468862295150757},{"id":"https://openalex.org/keywords/cuckoo-search","display_name":"Cuckoo search","score":0.6127220392227173},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5710488557815552},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5208221673965454},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5151828527450562},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4871337115764618},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4781140685081482},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.4597521126270294},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4276805520057678},{"id":"https://openalex.org/keywords/bat-algorithm","display_name":"Bat algorithm","score":0.4258192777633667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3763408362865448},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2954995036125183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18711629509925842},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.09540778398513794}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6512593626976013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468862295150757},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.6127220392227173},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5710488557815552},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5208221673965454},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5151828527450562},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4871337115764618},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4781140685081482},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.4597521126270294},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4276805520057678},{"id":"https://openalex.org/C5351157","wikidata":"https://www.wikidata.org/wiki/Q4868485","display_name":"Bat algorithm","level":3,"score":0.4258192777633667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3763408362865448},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2954995036125183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18711629509925842},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.09540778398513794},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3350532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350532","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W308825664","https://openalex.org/W1572401739","https://openalex.org/W2002302337","https://openalex.org/W2061438946","https://openalex.org/W2070448096","https://openalex.org/W2193660226","https://openalex.org/W2232732673","https://openalex.org/W2290402024","https://openalex.org/W2527554126","https://openalex.org/W2553852618","https://openalex.org/W2587345921","https://openalex.org/W2707074415","https://openalex.org/W2735447725","https://openalex.org/W2757702615","https://openalex.org/W2791136550","https://openalex.org/W2885191712","https://openalex.org/W2907322847","https://openalex.org/W2947331786","https://openalex.org/W2963103847"],"related_works":["https://openalex.org/W2904647070","https://openalex.org/W2060040920","https://openalex.org/W145972087","https://openalex.org/W2884295849","https://openalex.org/W2901785924","https://openalex.org/W4387489887","https://openalex.org/W3181688273","https://openalex.org/W4205889081","https://openalex.org/W2745322169","https://openalex.org/W4291474825"],"abstract_inverted_index":{"In":[0],"a":[1,14,30,48,61,70,74,79,90],"neural":[2,51],"network,":[3],"the":[4,11,24,33,36,40,57,83,116,121,129,135,154,161,168],"weights":[5,19,45],"act":[6],"as":[7,78],"parameters":[8],"to":[9,22,81],"determine":[10],"output(s)":[12],"from":[13,32,120],"set":[15,42],"of":[16,27,29,35,43,92,115,128,177,180],"inputs.":[17],"The":[18,66,86,105,126,163],"are":[20],"used":[21],"find":[23],"activation":[25],"values":[26,34],"nodes":[28],"layer":[31],"previous":[37],"layer.":[38],"Finding":[39],"ideal":[41],"these":[44],"for":[46],"training":[47,157],"Multi-layer":[49],"Perceptron":[50],"network":[52],"such":[53],"that":[54,167],"it":[55],"minimizes":[56],"classification":[58],"error":[59],"is":[60,89,109,132],"widely":[62],"known":[63],"optimization":[64,76],"problem.":[65,85],"presented":[67],"article":[68],"proposes":[69],"Hybrid":[71],"Wolf-Bat":[72],"algorithm,":[73,77,143],"novel":[75,106],"solution":[80],"solve":[82],"discussed":[84],"proposed":[87,130,169],"algorithm":[88,101,131],"hybrid":[91],"two":[93],"already":[94],"existing":[95],"nature-inspired":[96,138],"algorithms,":[97],"Grey":[98,140],"Wolf":[99,141],"Optimization":[100,142,150],"and":[102,148,182],"Bat":[103,146],"algorithm.":[104],"introduced":[107],"approach":[108],"tested":[110],"on":[111],"ten":[112],"different":[113],"datasets":[114],"medical":[117],"field,":[118],"obtained":[119,164],"UCI":[122],"machine":[123],"learning":[124],"repository.":[125],"performance":[127],"compared":[133],"with":[134,153],"recently":[136],"developed":[137],"algorithms:":[139],"Cuckoo":[144],"Search,":[145],"Algorithm,":[147,151],"Whale":[149],"along":[152],"standard":[155],"Back-propagation":[156],"method":[158,170],"available":[159],"in":[160,175],"literature.":[162],"results":[165],"demonstrate":[166],"outperforms":[171],"other":[172],"bio-inspired":[173],"algorithms":[174],"terms":[176],"both":[178],"speed":[179],"convergence":[181],"accuracy.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
