Optimization to optimization (OtoO): optimize monarchy butterfly method with stochastics multi-parameter divergence method for benchmark functions and load frequency control

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dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAtes, Abdullah
dc.contributor.authorAkpamukcu, Mehmet
dc.date.accessioned2024-08-04T20:49:23Z
dc.date.available2024-08-04T20:49:23Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractOptimization to optimization (OtoO) approach is proposed in this study. It aims to increase an optimization algorithm performance. OtoO approach has two types of optimization methods. First is essential algorithm, which is used for solution of the basic problem. Second is auxiliary algorithm that adjusted the parameters of the essential algorithm. In this study, the monarchy butterfly optimization (MBO) method and stochastic multi-parameter divergence optimization (SMDO) method were defined as essential algorithm and auxiliary algorithm, respectively. Constant parameters of the MBO method that affect performance (Keep, Max. Step Size, period and BAR) are primarily optimized on benchmark functions with the SMDO algorithm, and results are compared with each other and classical MBO, ABC (Artificial Bee Colony), ACO (Ant Colony), BBO (Biogeography-based), SGA (Simple Genetic) and DE (Differential Evolution) algorithms. In addition, OtoO approach is also tried via composite benchmark functions. In addition, PI and PID controllers were designed for the load frequency control of a hybrid power system. Results are compared with the FA (Firefly Algorithm) and GA (Genetic Algorithm) results. Results demonstrate that the performance of algorithms can be increased without disrupting the basic philosophy of algorithms and hybridizing algorithms with the proposed OtoO approach via benchmark functions and engineering problems.en_US
dc.identifier.doi10.1007/s00366-021-01364-0
dc.identifier.endpage1754en_US
dc.identifier.issn0177-0667
dc.identifier.issn1435-5663
dc.identifier.issueSUPPL 3en_US
dc.identifier.scopus2-s2.0-85102237693en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1735en_US
dc.identifier.urihttps://doi.org/10.1007/s00366-021-01364-0
dc.identifier.urihttps://hdl.handle.net/11616/99805
dc.identifier.volume38en_US
dc.identifier.wosWOS:000625903300001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEngineering With Computersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOptimization to optimizationen_US
dc.subjectComposite benchmarken_US
dc.subjectMBOen_US
dc.subjectSMDOen_US
dc.subjectLFCen_US
dc.titleOptimization to optimization (OtoO): optimize monarchy butterfly method with stochastics multi-parameter divergence method for benchmark functions and load frequency controlen_US
dc.typeArticleen_US

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