Improved L ' evy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal design

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dc.authoridDuman, Serhat/0000-0002-1091-125X
dc.authoridBakır, Hüseyin/0000-0001-5473-5158
dc.authoridKAHRAMAN, Hamdi Tolga/0000-0001-9985-6324
dc.authoridguvenc, ugur/0000-0002-5193-7990
dc.authorwosidDuman, Serhat/O-9406-2014
dc.authorwosidBakır, Hüseyin/HMO-5183-2023
dc.authorwosidguvenc, ugur/H-3029-2011
dc.authorwosidKAHRAMAN, Hamdi Tolga/AAW-5335-2020
dc.contributor.authorBakır, Hüseyin
dc.contributor.authorGüvenç, Uğur
dc.contributor.authorKahraman, Hamdi Tolga
dc.contributor.authorDuman, Serhat
dc.date.accessioned2023-07-26T11:54:17Z
dc.date.available2023-07-26T11:54:17Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents the improved version of the Le ' vy Flight Distribution (LFD) algorithm for solving real-valued numerical optimization problems. In the proposed algorithm, the Fitness-Distance Balance (FDB) selection method was used to determine the search agents that well know the migration routes and guide the herd. Thus, the FDB-LFD algorithm, which has a much stronger search performance, was developed. The performance of the proposed algorithm was tested and verified on CEC17 and CEC20 benchmark problems for low-, middle-and high-dimensional search spaces. Results of the FDB-LFD was compared to the performance of 11 other powerful and up-to-date metaheuristic search algorithms. According to Friedman statistical test results, the proposed FDBLFD algorithm ranked first, whereas the LFD was ranked eleventh. This result demonstrated that the changes in the design of the LFD algorithm had been successful. Moreover, using the proposed algorithm, optimum solutions were found for one of the popular industrial engineering applications: the automatic voltage regulator (AVR) system design. The simulation results revealed that the FDB-LFD is an effective algorithm for solving both unconstrained benchmark and constrained industrial engineering design problems.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [BIDEB 2211/A, 1649B031806288]en_US
dc.description.sponsorshipHuseyin Bakir would like to thank the support provided by Scientific and Technological Research Council of Turkey (TUBITAK) BIDEB 2211/A National PhD Scholarship Program under application number 1649B031806288.en_US
dc.identifier.doi10.1016/j.cie.2022.108032
dc.identifier.issn0360-8352
dc.identifier.issn1879-0550
dc.identifier.scopus2-s2.0-85125775600en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.cie.2022.108032
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12788
dc.identifier.volume168en_US
dc.identifier.wosWOS:000780376800006en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGüvenç, Uğur
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers & Industrial Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectLevy Flight Distribution; Fitness-Distance Balance; Meta-Heuristic Search Algorithm Design; Optimization; Automatic Voltage Regulatoren_US
dc.subjectAutomatic Voltage Regulator; Order (Pid-Mu)-D-Lambda Controller; Symbiotic Organisms Search; Pid Controller; Levy Flight; Differential Evolution; Optimization Algorithm; Performance Analysis; Derivative Controller; Enhanced Explorationen_US
dc.titleImproved L ' evy flight distribution algorithm with FDB-based guiding mechanism for AVR system optimal designen_US
dc.typeArticleen_US

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