Modified Artificial Physics Optimization for Multi-parameter Functions

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dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAtes, Abdullah
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:45:26Z
dc.date.available2024-08-04T20:45:26Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThis paper combines Artificial Physics and Base Optimization Algorithms to propose a Modified Artificial Physics Optimization for multi-parameter function minimization. Prominent features of Base Optimization lies in using standard arithmetic operators with displacement parameters to reach the optimal solution. Artificial Physics benefit from the success of physicomimetics and shows an evident predominance in search of global optima. This study uses distinctive advantages of two algorithms to propose an efficient optimization for multi-parameter functions. In order to reveal effects of mass function approach of Artificial Physics and cost functions of the optimization process, the proposed method executes various mass-cost function combinations synchronously. The effectiveness of the proposed algorithm is demonstrated on integer-order and fractional-order controller tunings for integer- and fractional-order models. Priority of the proposed optimization method is presented by comparing with known optimization algorithms.en_US
dc.identifier.doi10.1007/s40998-018-0082-4
dc.identifier.endpage478en_US
dc.identifier.issn2228-6179
dc.identifier.issn2364-1827
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85054292446en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage465en_US
dc.identifier.urihttps://doi.org/10.1007/s40998-018-0082-4
dc.identifier.urihttps://hdl.handle.net/11616/98483
dc.identifier.volume42en_US
dc.identifier.wosWOS:000446932600006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Int Publ Agen_US
dc.relation.ispartofIranian Journal of Science and Technology-Transactions of Electrical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStochastic optimizationen_US
dc.subjectArtificial Physicsen_US
dc.subjectBase Optimizationen_US
dc.subjectController tuningen_US
dc.subjectFractional calculusen_US
dc.titleModified Artificial Physics Optimization for Multi-parameter Functionsen_US
dc.typeArticleen_US

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