Improved Slime-Mould-Algorithm with Fitness Distance Balancebased Guiding Mechanism for Global Optimization Problems

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dc.contributor.authorIşık, Mehmet Fatih
dc.contributor.authorYılmaz, Cemal
dc.contributor.authorSuiçmez, Çağrı
dc.contributor.authorCengiz, Enes
dc.contributor.authorKahraman, Hamdi Tolga
dc.date.accessioned2023-04-10T20:21:04Z
dc.date.available2023-04-10T20:21:04Z
dc.date.issued2021
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractIn this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. In order to model the search process lifecycle process more effectively in the SMA algorithm, the solution candidates guiding the search process were determined using the fitness-distance balance (FDB) method. Although the performance of the SMA algorithm is accepted, it is seen that the performance of the FDB-SMA algorithm developed thanks to the applied FDB method is much better. CEC 2020, which has current benchmark problems, was used to test the performance of the developed FDB-SMA algorithm. 10 different unconstrained comparison problems taken from CEC 2020 are designed by arranging them in 30-50-100 dimensions. Experimental studies were carried out using the designed comparison problems and analyzed with Friedman and Wilcoxon statistical test methods. According to the results of the analysis, it has been seen that the FDB-SMA variations outperform the basic algorithm (SMA) in all experimental studies.en_US
dc.identifier.doi10.29130/dubited.1016209
dc.identifier.endpage54en_US
dc.identifier.issn2148-2446
dc.identifier.issue6en_US
dc.identifier.startpage40en_US
dc.identifier.trdizinid498889en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.1016209
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/498889
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11549
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 Slime-Mould-Algorithm with Fitness Distance Balancebased Guiding Mechanism for Global Optimization Problemsen_US
dc.typeArticleen_US

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