{"id":"https://openalex.org/W4391305567","doi":"https://doi.org/10.1109/access.2024.3359587","title":"Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization","display_name":"Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391305567","doi":"https://doi.org/10.1109/access.2024.3359587"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3359587","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3359587","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10415420.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10415420.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005036651","display_name":"Tapas Si","orcid":"https://orcid.org/0000-0001-8267-0304"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tapas Si","raw_affiliation_strings":["Department of Computer Science & Engineering, AI Innovation Lab, University of Engineering & Management Jaipur, Jaipur, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, AI Innovation Lab, University of Engineering & Management Jaipur, Jaipur, Rajasthan, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078294323","display_name":"P\u00e9ricles Miranda","orcid":"https://orcid.org/0000-0002-5767-7544"},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"P\u00e9ricles B. C. Miranda","raw_affiliation_strings":["Departamento de Computação (DC), Universidade Federal Rural de Pernambuco (UFRPE), Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Computação (DC), Universidade Federal Rural de Pernambuco (UFRPE), Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I62921916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027312639","display_name":"Utpal Nandi","orcid":"https://orcid.org/0000-0002-9638-1906"},"institutions":[{"id":"https://openalex.org/I41549804","display_name":"Vidyasagar University","ror":"https://ror.org/027jsza11","country_code":"IN","type":"education","lineage":["https://openalex.org/I41549804"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utpal Nandi","raw_affiliation_strings":["Department of Computer Science, Vidyasagar University, Midnapore, Paschim Medinipur, West Bengal, India","Department of Computer Science, Vidyasagar University, Paschim Medinipur, Midnapore, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vidyasagar University, Midnapore, Paschim Medinipur, West Bengal, India","institution_ids":["https://openalex.org/I41549804"]},{"raw_affiliation_string":"Department of Computer Science, Vidyasagar University, Paschim Medinipur, Midnapore, West Bengal, India","institution_ids":["https://openalex.org/I41549804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055489209","display_name":"Nanda Dulal Jana","orcid":"https://orcid.org/0000-0003-0631-9912"},"institutions":[{"id":"https://openalex.org/I155837530","display_name":"National Institute of Technology Durgapur","ror":"https://ror.org/04ds0jm32","country_code":"IN","type":"education","lineage":["https://openalex.org/I155837530"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nanda Dulal Jana","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, West Bengal, India","institution_ids":["https://openalex.org/I155837530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033317672","display_name":"Saurav Mallik","orcid":"https://orcid.org/0000-0003-4107-6784"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurav Mallik","raw_affiliation_strings":["Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103162097","display_name":"Ujjwal Maulik","orcid":"https://orcid.org/0000-0003-1062-4311"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ujjwal Maulik","raw_affiliation_strings":["Department of Computer Science and Engineering, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063211322","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0002-1060-6722"},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, Chattanooga, TN, USA","institution_ids":["https://openalex.org/I177097968"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005036651"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.0007,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94082355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"18168","last_page":"18188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9825000166893005,"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":0.9767000079154968,"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/cma-es","display_name":"CMA-ES","score":0.7038469314575195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6953545808792114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5739412307739258},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48031753301620483},{"id":"https://openalex.org/keywords/test-functions-for-optimization","display_name":"Test functions for optimization","score":0.4704762101173401},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.44535496830940247},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.41344916820526123},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.400108277797699},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.30493396520614624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2691025137901306},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.17536672949790955}],"concepts":[{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.7038469314575195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6953545808792114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5739412307739258},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48031753301620483},{"id":"https://openalex.org/C150185637","wikidata":"https://www.wikidata.org/wiki/Q7705773","display_name":"Test functions for optimization","level":4,"score":0.4704762101173401},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.44535496830940247},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.41344916820526123},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.400108277797699},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.30493396520614624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2691025137901306},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.17536672949790955},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3359587","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3359587","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10415420.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c7186754937342d4930e2bde69e90e21","is_oa":true,"landing_page_url":"https://doaj.org/article/c7186754937342d4930e2bde69e90e21","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 18168-18188 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3359587","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3359587","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10415420.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2433937331","display_name":null,"funder_award_id":"1761839","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5622878407","display_name":null,"funder_award_id":"2200138","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391305567.pdf","grobid_xml":"https://content.openalex.org/works/W4391305567.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W1588619826","https://openalex.org/W1650820159","https://openalex.org/W1976744965","https://openalex.org/W1980380058","https://openalex.org/W1990966828","https://openalex.org/W2000629628","https://openalex.org/W2024060531","https://openalex.org/W2031183907","https://openalex.org/W2038636021","https://openalex.org/W2041905867","https://openalex.org/W2043843374","https://openalex.org/W2057874216","https://openalex.org/W2072955302","https://openalex.org/W2093084016","https://openalex.org/W2096166399","https://openalex.org/W2118980652","https://openalex.org/W2132055170","https://openalex.org/W2138537392","https://openalex.org/W2144573902","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2154369526","https://openalex.org/W2154943049","https://openalex.org/W2157833270","https://openalex.org/W2162745921","https://openalex.org/W2168081761","https://openalex.org/W2182761707","https://openalex.org/W2212683028","https://openalex.org/W2232317135","https://openalex.org/W2641311918","https://openalex.org/W2745838971","https://openalex.org/W2760225670","https://openalex.org/W2808223626","https://openalex.org/W2992674204","https://openalex.org/W3007907254","https://openalex.org/W3010072518","https://openalex.org/W3042555985","https://openalex.org/W3043777293","https://openalex.org/W3090396243","https://openalex.org/W3097904695","https://openalex.org/W3132226009","https://openalex.org/W3155960446","https://openalex.org/W3156438996","https://openalex.org/W3161023541","https://openalex.org/W3162668816","https://openalex.org/W3173038766","https://openalex.org/W3181964043","https://openalex.org/W3193238958","https://openalex.org/W3196915844","https://openalex.org/W3207651124","https://openalex.org/W4200156671","https://openalex.org/W4205320908","https://openalex.org/W4210608666","https://openalex.org/W4221027330","https://openalex.org/W4231702991","https://openalex.org/W4280508515","https://openalex.org/W4286423321","https://openalex.org/W4292083457","https://openalex.org/W4310525841","https://openalex.org/W4311791781","https://openalex.org/W4384663580","https://openalex.org/W6803886960"],"related_works":["https://openalex.org/W3109317619","https://openalex.org/W2272252676","https://openalex.org/W2807129720","https://openalex.org/W4297788869","https://openalex.org/W2186293978","https://openalex.org/W2391889613","https://openalex.org/W2376531753","https://openalex.org/W2915830346","https://openalex.org/W2080603568","https://openalex.org/W3000182889"],"abstract_inverted_index":{"Tunicate":[0],"Swarm":[1],"Algorithm":[2,135,139,149,154,160],"(TSA)":[3],"is":[4,83],"a":[5],"novel":[6],"swarm":[7],"intelligence":[8],"algorithm":[9],"developed":[10],"in":[11,19,70,85,89,230],"2020.":[12],"Though":[13],"it":[14,33],"has":[15],"shown":[16],"superior":[17],"performance":[18],"numerical":[20],"benchmark":[21,100],"function":[22],"optimization":[23,101,233],"and":[24,51,60,64,73,108,114,156,181,200,202],"six":[25],"engineering":[26],"design":[27],"problems":[28,102],"over":[29],"its":[30],"competitive":[31],"algorithms,":[32],"still":[34],"needs":[35],"further":[36],"improvements.":[37],"This":[38],"article":[39],"proposes":[40],"two":[41],"improved":[42],"TSA":[43,126,180,209],"algorithms":[44,56,93,178,183,210,229],"using":[45,168],"chaos":[46],"theory,":[47],"opposition-based":[48,81],"learning":[49],"(OBL)":[50],"Cauchy":[52],"mutation.":[53],"The":[54,62,91,117,162,217],"proposed":[55,92,177,228],"are":[57,67,94,120,192,211],"termed":[58],"OCSTA":[59],"COCSTA.":[61],"static":[63],"dynamic":[65],"OBL":[66],"used":[68,193],"respectively":[69],"the":[71,86,123,128,169,176,187,196,203,207,224,227],"initialization":[72],"generation":[74],"jumping":[75],"phase":[76],"of":[77,104,165,186,198,226],"OCTSA,":[78],"whereas":[79],"centroid":[80],"computing":[82],"used,":[84],"same":[87],"phases,":[88],"COCTSA.":[90],"tested":[95],"on":[96],"30":[97],"IEEE":[98],"CEC2017":[99],"consists":[103],"unimodal,":[105],"multimodal,":[106],"hybrid,":[107],"composite":[109],"functions":[110],"with":[111,122,127,220],"30,":[112],"50,":[113],"100":[115],"dimensions.":[116,216],"experimental":[118,166,218],"results":[119,167,204,219],"compared":[121],"classical":[124],"TSA,":[125],"local":[129],"escaping":[130],"operator":[131],"(TSA-LEO),":[132],"Sine":[133],"Cosine":[134],"(SCA),":[136],"Giza-Pyramid":[137],"Construction":[138],"(GPC),":[140],"Covariance":[141],"Matrix":[142],"Adaptation":[143],"Evolution":[144],"Strategy":[145],"(CMAES),":[146],"Archimedes":[147],"Optimization":[148,153,159],"(AOA),":[150],"Opposition-Based":[151,157],"Arithmetic":[152],"(OBLAOA),":[155],"Chimp":[158],"(ChOAOBL).":[161],"statistical":[163,221],"analysis":[164,222],"Wilcoxon":[170],"Signed":[171],"Rank":[172],"Test":[173],"establishes":[174],"that":[175,206],"outperform":[179],"other":[182],"for":[184],"most":[185],"problems.":[188,234],"Moreover,":[189],"high":[190],"dimensions":[191],"to":[194],"validate":[195],"scalability":[197],"OCTSA":[199],"COCTSA,":[201],"show":[205],"modified":[208],"least":[212],"impacted":[213],"by":[214],"larger":[215],"demonstrate":[223],"effectiveness":[225],"solving":[231],"global":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}