Parameter tuning in modeling and simulations by using swarm intelligence optimization algorithms
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Modeling and simulation of real-world environments has in recent times being widely used. The modeling of environments whose examination in particular is difficult and the examination via the model becomes easier. The parameters of the modeled systems and the values they can obtain are quite large, and manual tuning is tedious and requires a lot of effort while it often it is almost impossible to get the desired results. For this reason, there is a need for the parameter space to be set. The studies conducted in recent years were reviewed, it has been observed that there are few studies for parameter tuning problem in modeling and simulations. In this study, work has been done for a solution to be found to the problem of parameter tuning with swarm intelligence optimization algorithms Particle swarm optimization and Firefly algorithms. The performance of these algorithms in the parameter tuning process has been tested on 2 different agent based model studies. The performance of the algorithms has been observed by manually entering the parameters found for the model. According to the obtained results, it has been seen that the Firefly algorithm where the Particle swarm optimization algorithm works faster has better parameter values. With this study, the parameter tuning problem of the models in the different fields were solved. © 2017 IEEE.
Açıklama
9th International Conference on Computational Intelligence and Communication Networks, CICN 2017 -- 16 September 2017 through 17 September 2017 -- 135332
Anahtar Kelimeler
Firefly algorithms, Modeling and Simulation, Parameter tuning, Particle swarm optimization, Swarm Intelligence Optimization Algorithms
Kaynak
Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
2018-January
