Improved Runge Kutta Optimizer with Fitness Distance BalanceBased Guiding Mechanism for Global Optimization of HighDimensional Problems1

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dc.contributor.authorSuiçmez, Çağrı
dc.contributor.authorKahraman, Hamdi Tolga
dc.contributor.authorCengiz, Enes
dc.contributor.authorYılmaz, Cemal
dc.date.accessioned2023-04-10T20:28:00Z
dc.date.available2023-04-10T20:28:00Z
dc.date.issued2021
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractRunge Kutta (RUN) is an up-to-date and well-founded metaheuristic algorithm. The RUN algorithm aims to find the global best in solving problems by going beyond the traps of metaphors. For this purpose, enhanced solution quality mechanism is used to avoid local optimum solutions and increase the convergence speed. Although the RUN algorithm offers promising solutions, it is seen that this algorithm has shortcomings, especially in solving high dimensional multimodal problems. In this study, the solution candidates that guide the search process in the RUN algorithm are developed using the Fitness-Distance Balance (FDB) method. Thus, using the FDB-based RUN algorithm, the global optimum value of many optimization problems will be obtained in the future. CEC 2020 which has current benchmark problems was used to test the performance of the developed FDB-RUN algorithm. 10 different unconstrained benchmark problems taken from CEC 2020 were designed by arranging them in 30/50/100 dimensions. Experimental studies were carried out using the designed benchmark problems and analyzed with Friedman and Wilcoxon statistical test methods. According to the results of the analysis, it was seen that the FDB-RUN variations showed a superior performance compared to the base algorithm (RUN) in all experimental studies. In particular, it has been shown to provide more effective results for the continuous optimization of high-dimensional problems.en_US
dc.identifier.doi10.29130/dubited.1014947
dc.identifier.endpage149en_US
dc.identifier.issn2148-2446
dc.identifier.issue6en_US
dc.identifier.startpage135en_US
dc.identifier.trdizinid498914en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.1014947
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/498914
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11844
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleImproved Runge Kutta Optimizer with Fitness Distance BalanceBased Guiding Mechanism for Global Optimization of HighDimensional Problems1en_US
dc.typeArticleen_US

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