Modified monarch butterfly optimization with distribution functions and its application for 3 DOF Hover flight system

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dc.authorwosidAtes, Abdullah/V-6929-2018
dc.contributor.authorAtes, Abdullah
dc.contributor.authorAkpamukcu, Mehmet
dc.date.accessioned2024-08-04T20:50:47Z
dc.date.available2024-08-04T20:50:47Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, Modified Monarch Butterfly Optimization Algorithm ((MBO)-B-2) is proposed by modeling stochastic processes in Monarch Butterfly Optimization (MBO) algorithm with different random distribution functions. The proposed (MBO)-B-2 algorithm has been firstly tested with benchmark functions and the results have been compared with the literature and classical MBO algorithm. In order to analyze the performance of the proposed (MBO)-B-2 algorithm for the real engineering problem, the feedback gain matrix (K matrix) for the control of the 3 Degree of Freedom (3 DOF) Hover system has been optimized. The results have been compared with classical MBO, DSO (Discrete Stochastic Optimization), and SMDO (Stochastic Multi-parameter Divergence Optimization) optimization algorithms. The obtained results have been compared on 3 DOF Hover simulation models and real-time 3 DOF Hover experimental sets. The performance of the proposed (MBO)-B-2 algorithm in benchmark and real engineering problem tests has been shown theoretically and experimentally. Thus, it has been shown that the performance of algorithms can be increased without changing the basic philosophy of algorithms by modeling stochastic processes in algorithms with random distributions other than a uniform distribution. In addition to these, it has been determined that distribution function-based contributions can be applied to many of these algorithms.en_US
dc.identifier.doi10.1007/s00521-021-06635-x
dc.identifier.endpage3722en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85117848562en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3697en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-021-06635-x
dc.identifier.urihttps://hdl.handle.net/11616/100281
dc.identifier.volume34en_US
dc.identifier.wosWOS:000710856400004en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOptimizationen_US
dc.subjectDistribution functionen_US
dc.subject3 DOF Hoveren_US
dc.subjectMBOen_US
dc.titleModified monarch butterfly optimization with distribution functions and its application for 3 DOF Hover flight systemen_US
dc.typeArticleen_US

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