Optimization of Interval Type-2 Fuzzy Logic Controller Using Real-Coded Quantum Clonal Selection Algorithm

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dc.authoridBaşer, Ekrem/0000-0002-8233-7840
dc.authorwosidBAŞER, Ekrem/A-4200-2018
dc.contributor.authorSatır, Esra
dc.contributor.authorBaşer, Ekrem
dc.date.accessioned2023-07-26T11:57:49Z
dc.date.available2023-07-26T11:57:49Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn recent years, quantum computing has gained immense popularity with the production of real quantum computers. Researchers have developed quantum-inspired evolutionary algorithms (QIEAs) to solve combinatorial optimization problems and have obtained successful results. As a special case of QIEAs, real-coded quantum evolutionary algorithm (RCQEA) is used in the optimization of high-dimensional complex problems. In this study, a novel mechanism of the quantum rotation gate (QRG) that is used to determine the rotation angle of the qubit in the RCQEA is introduced and implemented to accelerate the evolutionary process and increase the possibility of finding the optimal solution. Moreover, the skeleton of RCQEA is modified by using a clonal selection mechanism, and the real-coded quantum clonal selection algorithm (RCQCSA) is developed. Our proposed QRG accelerates the convergence speed of the algorithm. The main purpose of this study is to present a more effective algorithm that inspires quantum computing principles for optimizing the interval type-2 fuzzy logic controller (IT2FLC) membership functions (MFs). In this study, four different comparisons are made with these two different algorithms that have the original version of QRG and our proposed QRG. Optimized IT2FLC provides stabilization of the inverted pendulum system. The results show that the RCQCSA having our proposed QRG outperforms RCQEA in stabilizing the inverted pendulum system by optimizing the IT2FLC parameters.en_US
dc.identifier.doi10.5755/j02.eie.31148
dc.identifier.endpage14en_US
dc.identifier.issn1392-1215
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85145807247en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage4en_US
dc.identifier.urihttps://doi.org/10.5755/j02.eie.31148
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13317
dc.identifier.volume28en_US
dc.identifier.wosWOS:000838025400001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSatır, Esra
dc.institutionauthorBaşer, Ekrem
dc.language.isoenen_US
dc.publisherKaunas Univ Technologyen_US
dc.relation.ispartofElektronika Ir Elektrotechnikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectClonal Selection Mechanism; Interval Type-2 Fuzzy Logic; Optimization; Quantum Evolutionary Algorithmsen_US
dc.subjectInspired Evolutionary Algorithms; Systemsen_US
dc.titleOptimization of Interval Type-2 Fuzzy Logic Controller Using Real-Coded Quantum Clonal Selection Algorithmen_US
dc.typeArticleen_US

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