{"id":"https://openalex.org/W4213305548","doi":"https://doi.org/10.1080/0952813x.2021.1960639","title":"Fuzzy whale optimisation algorithm: a new hybrid approach for automatic sonar target recognition","display_name":"Fuzzy whale optimisation algorithm: a new hybrid approach for automatic sonar target recognition","publication_year":2022,"publication_date":"2022-02-13","ids":{"openalex":"https://openalex.org/W4213305548","doi":"https://doi.org/10.1080/0952813x.2021.1960639"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2021.1960639","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2021.1960639","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","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/A5061334542","display_name":"Abbas Saffari","orcid":"https://orcid.org/0000-0001-6679-7225"},"institutions":[{"id":"https://openalex.org/I97626857","display_name":"University of Birjand","ror":"https://ror.org/03g4hym73","country_code":"IR","type":"education","lineage":["https://openalex.org/I97626857"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Abbas Saffari","raw_affiliation_strings":["University of Birjand, Birjand, Iran"],"raw_orcid":"https://orcid.org/0000-0001-6679-7225","affiliations":[{"raw_affiliation_string":"University of Birjand, Birjand, Iran","institution_ids":["https://openalex.org/I97626857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075446535","display_name":"Seyed Hamid Zahiri","orcid":"https://orcid.org/0000-0002-1280-8133"},"institutions":[{"id":"https://openalex.org/I97626857","display_name":"University of Birjand","ror":"https://ror.org/03g4hym73","country_code":"IR","type":"education","lineage":["https://openalex.org/I97626857"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Hamid Zahiri","raw_affiliation_strings":["University of Birjand, Birjand, Iran"],"raw_orcid":"https://orcid.org/0000-0002-1280-8133","affiliations":[{"raw_affiliation_string":"University of Birjand, Birjand, Iran","institution_ids":["https://openalex.org/I97626857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066661344","display_name":"Mohammad Khishe","orcid":"https://orcid.org/0000-0002-1024-8822"},"institutions":[{"id":"https://openalex.org/I2800596343","display_name":"Imam Khomeini Hospital","ror":"https://ror.org/05v2x6b69","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I2800596343","https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Khishe","raw_affiliation_strings":["Imam Khomeini Marine Science University"],"raw_orcid":"https://orcid.org/0000-0002-1024-8822","affiliations":[{"raw_affiliation_string":"Imam Khomeini Marine Science University","institution_ids":["https://openalex.org/I2800596343"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061334542"],"corresponding_institution_ids":["https://openalex.org/I97626857"],"apc_list":null,"apc_paid":null,"fwci":4.9851,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96019269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"35","issue":"2","first_page":"309","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9936000108718872,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7779863476753235},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5828840732574463},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5742285251617432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387960076332092},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5315755605697632},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5208224058151245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49600109457969666},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.45904842019081116},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4502241313457489},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4458669424057007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38304027915000916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2864637076854706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779863476753235},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5828840732574463},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5742285251617432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387960076332092},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5315755605697632},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5208224058151245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49600109457969666},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.45904842019081116},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4502241313457489},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4458669424057007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38304027915000916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2864637076854706},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2021.1960639","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2021.1960639","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental &amp; Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1529965533","https://openalex.org/W1576660662","https://openalex.org/W1975436849","https://openalex.org/W1999284878","https://openalex.org/W2009660640","https://openalex.org/W2033731173","https://openalex.org/W2037437396","https://openalex.org/W2041629655","https://openalex.org/W2050546928","https://openalex.org/W2053406329","https://openalex.org/W2055804688","https://openalex.org/W2056646063","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2080988326","https://openalex.org/W2102184039","https://openalex.org/W2102423302","https://openalex.org/W2152195021","https://openalex.org/W2155105965","https://openalex.org/W2290883490","https://openalex.org/W2301363727","https://openalex.org/W2517600007","https://openalex.org/W2531563875","https://openalex.org/W2625168508","https://openalex.org/W2790617735","https://openalex.org/W2887008726","https://openalex.org/W2888005036","https://openalex.org/W2919979744","https://openalex.org/W2943857514","https://openalex.org/W2944156532","https://openalex.org/W2944315498","https://openalex.org/W2964714427","https://openalex.org/W2965688532","https://openalex.org/W2985364672","https://openalex.org/W2999206242","https://openalex.org/W3007040893","https://openalex.org/W3009736721","https://openalex.org/W3010014325","https://openalex.org/W3014974411","https://openalex.org/W3015759889","https://openalex.org/W3016057476","https://openalex.org/W3023280725","https://openalex.org/W3029261698","https://openalex.org/W3033396344","https://openalex.org/W3038151853","https://openalex.org/W3048562648","https://openalex.org/W3080342797","https://openalex.org/W3161192096","https://openalex.org/W4212899374","https://openalex.org/W4234488063","https://openalex.org/W4238961266","https://openalex.org/W4240429504","https://openalex.org/W4246318739"],"related_works":["https://openalex.org/W2093540596","https://openalex.org/W2378211422","https://openalex.org/W2137769200","https://openalex.org/W2032962400","https://openalex.org/W2952608638","https://openalex.org/W2911323905","https://openalex.org/W2350761455","https://openalex.org/W1996172652","https://openalex.org/W2347430706","https://openalex.org/W2130145841"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,22,29],"radial":[4],"basis":[5],"function":[6],"neural":[7],"network":[8],"(RBF-NN)":[9],"automatic":[10],"sonar":[11,142],"target":[12],"recognition":[13],"system":[14,31,45,78],"is":[15,36,46,73],"proposed.":[16],"For":[17],"the":[18,43,47,53,56,64,67,71,76,80,113,147],"RBF-NN":[19,83],"training":[20],"phase,":[21],"whale":[23],"optimisation":[24,88],"algorithm":[25,89,92,99,107],"(WOA)":[26],"developed":[27],"with":[28,136],"fuzzy":[30,44,77],"has":[32],"been":[33],"used":[34],"(which":[35],"called":[37],"FWOA).":[38],"The":[39,116,130],"reason":[40],"for":[41],"using":[42],"lack":[48],"of":[49,52,59,66,70,79],"correct":[50],"identification":[51],"boundary":[54],"between":[55],"two":[57],"stages":[58],"exploration":[60],"and":[61,109,127],"exploitation.":[62],"Thus,":[63],"tuning":[65],"effective":[68],"parameters":[69],"WOA":[72,110],"left":[74],"to":[75,111,123],"Mamdani":[81],"type.":[82],"was":[84],"trained":[85],"by":[86],"chimp":[87],"(ChOA),":[90],"genetic":[91],"(GA),":[93],"Evolution":[94],"Strategy":[95],"(ES),":[96],"league":[97],"championship":[98],"(LCA),":[100],"grey":[101],"wolf":[102],"algorithms":[103],"(GWO),":[104],"gravitational":[105],"search":[106],"(GSA),":[108],"compare":[112],"proposed":[114],"algorithm.":[115],"measured":[117],"criteria":[118],"are":[119],"convergence":[120],"speed,":[121],"ability":[122],"avoid":[124],"local":[125],"optimisation,":[126],"classification":[128,138],"rate.":[129],"simulation":[131],"results":[132],"showed":[133],"that":[134],"FWOA":[135],"97.49%":[137],"accuracy":[139],"rate":[140],"in":[141],"data":[143],"performed":[144],"better":[145],"than":[146],"other":[148],"seven":[149],"benchmark":[150],"algorithms.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
