{"id":"https://openalex.org/W2772535993","doi":"https://doi.org/10.1109/icacci.2017.8125873","title":"Shuffled multi-population bat algorithm (smpbat)","display_name":"Shuffled multi-population bat algorithm (smpbat)","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772535993","doi":"https://doi.org/10.1109/icacci.2017.8125873","mag":"2772535993"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8125873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-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/A5082534055","display_name":"Reshu Chaudhary","orcid":"https://orcid.org/0000-0002-6006-4706"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reshu Chaudhary","raw_affiliation_strings":["Department of Computer Science, University of Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Delhi, Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050592692","display_name":"Hema Banati","orcid":"https://orcid.org/0000-0002-8085-7527"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hema Banati","raw_affiliation_strings":["Dyal Singh College, University of Delhi, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dyal Singh College, University of Delhi, Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6196,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7824898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"398","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11269","display_name":"Algorithms and Data Compression","score":0.9697999954223633,"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":0.6116107702255249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4395250976085663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6116107702255249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4395250976085663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8125873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W338149584","https://openalex.org/W1596914020","https://openalex.org/W1965118480","https://openalex.org/W1980346192","https://openalex.org/W2024037093","https://openalex.org/W2042656126","https://openalex.org/W2047591340","https://openalex.org/W2060986680","https://openalex.org/W2086622126","https://openalex.org/W2119401655","https://openalex.org/W2131830737","https://openalex.org/W2185575900","https://openalex.org/W2238174288","https://openalex.org/W2296278947","https://openalex.org/W2519686997","https://openalex.org/W2535324361","https://openalex.org/W2547791263","https://openalex.org/W2560266421","https://openalex.org/W2566137974","https://openalex.org/W2588904957","https://openalex.org/W2606683984","https://openalex.org/W2963103847","https://openalex.org/W3100105995","https://openalex.org/W6730400023"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Bat":[0,41,54,58],"Algorithm":[1],"(BA)":[2],"is":[3,66,151,163],"a":[4,20,44,67,78,130,133,179],"nature-inspired":[5],"swarm":[6],"algorithm":[7,42,55,59],"which":[8,72],"has":[9],"been":[10],"applied":[11],"to":[12,19,77,105,121,165],"solve":[13],"multiple":[14,28],"real-world":[15],"optimisation":[16,173],"problems.":[17],"Due":[18],"lack":[21],"of":[22,34,51,70,80,101,112,117],"balance":[23],"between":[24,46],"exploitation":[25,108,157],"and":[26,57,83,109,168,185],"exploration,":[27],"researchers":[29],"have":[30],"proposed":[31,49,93],"different":[32],"hybrids":[33],"BA.":[35,91,113,161],"This":[36],"paper":[37],"proposes":[38],"Shuffled":[39,53],"MultiPopulation":[40],"(SMPBat),":[43],"hybrid":[45],"two":[47,103],"recently":[48],"variants":[50],"BA:-Enhanced":[52],"(EShBAT)":[56],"with":[60,132],"Ring":[61],"Master-Slave":[62],"strategy":[63,116],"(BatRM-S).":[64],"BatRM-S":[65],"multi-population":[68],"variant":[69],"BA":[71,128],"partitions":[73],"it's":[74],"population":[75,98],"according":[76],"combination":[79],"the":[81,97,107,123,137,143],"ring":[82],"master-slave":[84],"strategies.":[85],"EShBAT":[86,167,184],"-":[87],"incorporates":[88],"shuffling":[89],"into":[90],"The":[92,114,126],"algorithm,":[94],"SMPBat":[95,118,154,162,177],"combines":[96],"partitioning":[99],"strategies":[100],"these":[102],"algorithms":[104],"enhance":[106],"exploration":[110],"capabilities":[111],"evolution":[115],"also":[119],"strives":[120],"retain":[122],"improved":[124],"solutions.":[125],"standard":[127],"replaces":[129],"solution":[131,135,148],"new":[134],"around":[136],"best.":[138],"However,":[139],"in":[140],"this":[141,156],"process,":[142],"information":[144],"gained":[145],"by":[146,160],"that":[147],"so":[149],"far":[150],"completely":[152],"lost.":[153],"changes":[155],"technique":[158],"used":[159],"compared":[164],"BatRM-S,":[166],"BA,":[169,183],"over":[170,182],"30":[171],"well-known":[172],"functions.":[174],"Results":[175],"establish":[176],"as":[178],"significant":[180],"improvement":[181],"BatRM-S.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}