Korkmaz Tan, RabiaBora, Şebnem2022-05-112022-05-112018978-1538615010https://doi.org/10.1109/SIU.2018.8404265https://hdl.handle.net/20.500.11776/6111Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780Analytical solutions are not possible due to the complexity and large-scale data sets of complex systems. In order to facilitate the examination of these systems, agent based modeling and simulation techniques are often used. When studies done in recent years are examined, it is seen that meta-heuristic algorithms are often used for optimization with modeling and simulation. In this study, Artificial Bee Colonies algorithm is investigated for meta-heuristic algorithms for parameter calibration in complex systems with an optimization problem. The success of the parameter calibration process of complex systems has been tested with the Modified Artificial Bee Colonies Algorithm, which has been proven in this work. © 2018 IEEE.tr10.1109/SIU.2018.8404265info:eu-repo/semantics/closedAccessArtificial Bee ColonyComplex systemModified Artificial Bee ColonyOptimizationAutonomous agentsCalibrationComputational methodsHeuristic algorithmsLarge scale systemsOptimizationSignal processingAgent-based modeling and simulationArtificial bee coloniesLarge scale data setsMeta heuristic algorithmModel and simulationOptimization problemsParameter calibrationParameter estimationConference Object142-s2.0-85050825199