Akkoyun, ÖzgünToz, Metin2020-04-302020-04-302018978-1-5386-1501-02165-0608https://hdl.handle.net/20.500.12684/456626th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYWOS: 000511448500157Optimization is the best result finding process under certain constraints for a given problem. In this study, a new population-based optimization algorithm, Snow Flake Optimization Algorithm (SFO), is proposed to model a snowflake falling on the ground. The mathematical formulation of the developed algorithm is given. In addition, 8 benchmark functions are solved with the proposed algorithm and the results are presented in tabular form. According to the results, SFO achieved successful results in solving all functions.trinfo:eu-repo/semantics/closedAccessoptimizationsnow flake optimization algorithmSFOConference ObjectN/A