{"id":"https://openalex.org/W4386780392","doi":"https://doi.org/10.3390/sym15091765","title":"A Novel Hybrid Method Based on the Marine Predators Algorithm and Adaptive Neuro-Fuzzy Inference System for the Identification of Nonlinear Systems","display_name":"A Novel Hybrid Method Based on the Marine Predators Algorithm and Adaptive Neuro-Fuzzy Inference System for the Identification of Nonlinear Systems","publication_year":2023,"publication_date":"2023-09-15","ids":{"openalex":"https://openalex.org/W4386780392","doi":"https://doi.org/10.3390/sym15091765"},"language":"en","primary_location":{"id":"doi:10.3390/sym15091765","doi":"https://doi.org/10.3390/sym15091765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091765","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1765/pdf?version=1694777207","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/9/1765/pdf?version=1694777207","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047407761","display_name":"Ceren Ba\u015ftemur Kaya","orcid":"https://orcid.org/0000-0002-0091-3606","observed_orcids":["https://orcid.org/0000-0002-0091-3606"]},"institutions":[{"id":"https://openalex.org/I1281109512","display_name":"Nev\u015fehir Hac\u0131 Bekta\u015f Veli University","ror":"https://ror.org/019jds967","country_code":"TR","type":"education","lineage":["https://openalex.org/I1281109512"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ceren Ba\u015ftemur Kaya","raw_affiliation_strings":["Department of Computer Technologies, Nevsehir Vocational School, Nevsehir Haci Bektas Veli University, 50300 Nev\u015fehir, T\u00fcrkiye"],"raw_orcid":"https://orcid.org/0000-0002-0091-3606","affiliations":[{"raw_affiliation_string":"Department of Computer Technologies, Nevsehir Vocational School, Nevsehir Haci Bektas Veli University, 50300 Nev\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I1281109512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047407761"],"corresponding_institution_ids":["https://openalex.org/I1281109512"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2224},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2224},"fwci":0.6195,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68777168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"15","issue":"9","first_page":"1765","last_page":"1765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.5791000127792358,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.5791000127792358,"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":0.4097000062465668,"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/T11236","display_name":"Control Systems and Identification","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/marine-predator-algorithm","display_name":"marine predators algorithm","score":0.9819999933242798},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"adaptive neuro-fuzzy inference system","score":0.9990000128746033},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"nonlinear system identification","score":0.9319999814033508},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.7839999794960022},{"id":"https://openalex.org/keywords/metaheuristic-comparison","display_name":"metaheuristic comparison","score":0.7049999833106995},{"id":"https://openalex.org/keywords/butterfly-optimization-algorithm","display_name":"butterfly optimization algorithm","score":0.8820000290870667},{"id":"https://openalex.org/keywords/flower-pollination-algorithm","display_name":"flower pollination algorithm","score":0.9729999899864197},{"id":"https://openalex.org/keywords/moth-flame-optimization","display_name":"moth-flame optimization","score":0.878000020980835},{"id":"https://openalex.org/keywords/multi-verse-optimizer","display_name":"multi-verse optimizer","score":0.9480000138282776},{"id":"https://openalex.org/keywords/dandelion-optimizer","display_name":"Dandelion Optimizer","score":0.9940000176429749},{"id":"https://openalex.org/keywords/salp-swarm-algorithm","display_name":"salp swarm algorithm","score":0.996999979019165}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.802239179611206},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5966906547546387},{"id":"https://openalex.org/C143574069","wikidata":"https://www.wikidata.org/wiki/Q3497720","display_name":"Bees algorithm","level":3,"score":0.539375364780426},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5264186263084412},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5075298547744751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828491806983948},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4246480166912079},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.41846901178359985},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.358626127243042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308253884315491},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32572728395462036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3006461262702942},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2567974328994751},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1704498529434204},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.16732653975486755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11173903942108154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09422588348388672},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/sym15091765","doi":"https://doi.org/10.3390/sym15091765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091765","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1765/pdf?version=1694777207","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:da8ae80b071d4b9e92443dc8f7c03b6f","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/da8ae80b071d4b9e92443dc8f7c03b6f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 9, p 1765 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/sym15091765","doi":"https://doi.org/10.3390/sym15091765","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15091765","pdf_url":"https://www.mdpi.com/2073-8994/15/9/1765/pdf?version=1694777207","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386780392.pdf","grobid_xml":"https://content.openalex.org/works/W4386780392.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W883434633","https://openalex.org/W1606402766","https://openalex.org/W2019207321","https://openalex.org/W2031183907","https://openalex.org/W2047998652","https://openalex.org/W2055661125","https://openalex.org/W2460973543","https://openalex.org/W2513547627","https://openalex.org/W2559542874","https://openalex.org/W2563114639","https://openalex.org/W2621138776","https://openalex.org/W2738900493","https://openalex.org/W2753179649","https://openalex.org/W2782259231","https://openalex.org/W2790662215","https://openalex.org/W2801292020","https://openalex.org/W2891625068","https://openalex.org/W2951871563","https://openalex.org/W2977705973","https://openalex.org/W3011104345","https://openalex.org/W3025444948","https://openalex.org/W3049651666","https://openalex.org/W3080163385","https://openalex.org/W3096726005","https://openalex.org/W3097447106","https://openalex.org/W3099842405","https://openalex.org/W3100933494","https://openalex.org/W3128599543","https://openalex.org/W3135389145","https://openalex.org/W3139313339","https://openalex.org/W3156034637","https://openalex.org/W3162154139","https://openalex.org/W3171626192","https://openalex.org/W3178986468","https://openalex.org/W3185346377","https://openalex.org/W4220715407","https://openalex.org/W4285585607","https://openalex.org/W4320487090","https://openalex.org/W4366386416","https://openalex.org/W4379144567","https://openalex.org/W4386178854"],"related_works":["https://openalex.org/W4386030359","https://openalex.org/W4378808318","https://openalex.org/W2188647760","https://openalex.org/W2376151503","https://openalex.org/W2359569932","https://openalex.org/W2316727830","https://openalex.org/W2942979096","https://openalex.org/W2110602867","https://openalex.org/W3141908892","https://openalex.org/W2334532199"],"abstract_inverted_index":{"In":[0,30,112],"this":[1],"study,":[2],"a":[3],"hybrid":[4],"method":[5],"based":[6],"on":[7,53,71],"the":[8,33,39,44,49,64,72,83,113,120,123,126,131,135,141,144,148,151,155,164,167],"marine":[9],"predators":[10],"algorithm":[11],"(MPA)":[12],"and":[13,35,108,154,176],"adaptive":[14],"neuro-fuzzy":[15],"inference":[16],"system":[17],"(ANFIS)":[18],"is":[19,51,61],"presented":[20],"to":[21,82,118],"identify":[22],"nonlinear":[23,55],"systems":[24,85],"exhibiting":[25],"symmetrical":[26],"or":[27],"asymmetrical":[28],"behavior.":[29],"other":[31,171],"words,":[32],"antecedent":[34],"conclusion":[36],"parameters":[37],"of":[38,48,125,166],"ANFIS":[40,114],"are":[41,86],"adjusted":[42],"by":[43],"MPA.":[45],"The":[46,57,75,159],"performance":[47,124,165],"MPA":[50,127,168],"evaluated":[52],"eight":[54,73,84],"systems.":[56,74],"mean":[58,77],"squared":[59],"error":[60,65,79],"used":[62],"as":[63],"metric.":[66],"Successful":[67],"results":[68,160],"were":[69],"obtained":[70],"best":[76],"training":[78,115,175],"values":[80],"belonging":[81],"1.6":[87],"\u00d7":[88,91,94,97,100,103,106,110],"10\u22126,":[89,98],"3.2":[90,99],"10\u22123,":[92,104],"1.5":[93],"10\u22125,":[95,101,107],"9.2":[96],"2.3":[102],"1.7":[105],"8.7":[109],"10\u22126.":[111],"carried":[116],"out":[117],"solve":[119],"related":[121],"problems,":[122],"was":[128],"compared":[129],"with":[130],"butterfly":[132],"optimization":[133],"algorithm,":[134,138,147,153],"flower":[136],"pollination":[137],"moth\u2013flame":[139],"optimization,":[140],"multi-verse":[142],"optimizer,":[143,150],"crystal":[145],"structure":[146],"dandelion":[149],"RIME":[152],"salp":[156],"swarm":[157],"algorithm.":[158],"have":[161],"shown":[162],"that":[163],"mostly":[169],"outperforms":[170],"algorithms":[172],"in":[173],"both":[174],"testing":[177],"processes.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2023-09-16T00:00:00"}