Parameter calibration with Modified Artificial Bee Colonies Algorithm
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Analytical 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.
Açıklama
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
Anahtar Kelimeler
Artificial Bee Colony, Complex system, Modified Artificial Bee Colony, Optimization, Autonomous agents, Calibration, Computational methods, Heuristic algorithms, Large scale systems, Optimization, Signal processing, Agent-based modeling and simulation, Artificial bee colonies, Large scale data sets, Meta heuristic algorithm, Model and simulation, Optimization problems, Parameter calibration, Parameter estimation
Kaynak
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
