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    Energy Hub Economic Dispatch by Symbiotic Organisms Search Algorithm
    (Springer International Publishing Ag, 2020) Guvenc, Ugur; Ozkaya, Burcin; Bakir, Huseyin; Duman, Serhat; Bingol, Okan
    Energy hub receives various energy carriers such as gas, electricity, and heat in its input and then converts them into required demands such as gas, cool, heat, compressed air, and electricity. The energy hub economic dispatch problem is a non-smooth, high-dimension, non-convex, and non-differential problem, it should be solved subject to equality and inequality constraints. In this study, symbiotic organisms search algorithm is carried out for energy hub economic dispatch problem to minimize the energy cost of the system. In an attempt to show the efficiency of the proposed algorithm, an energy hub system, which has 7 hubs and 17 energy production units, has been used. Simulation results of the symbiotic organisms search algorithm have been compared with some heuristic algorithms to show the ability of the proposed algorithm.
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    Entropy-Based Skin Lesion Segmentation Using Stochastic Fractal Search Algorithm
    (Springer International Publishing Ag, 2020) Bingol, Okan; Pacaci, Serdar; Guvenc, Ugur
    Skin cancer is a type of cancer that attracts attention with the increasing number of cases. Detection of the lesion area on the skin has an important role in the diagnosis of dermatologists. In this study, 5 different entropy methods such as Kapur, Tsallis, Havrda and Charvat, Renyi and Minimum Cross were applied to determine the lesion area on dermoscopic images. Stochastic fractal search algorithm was used to determine threshold values with these 5 methods. PH2 data set was used for skin lesion images.