Stochastic Fractal Search with Chaos
Yükleniyor...
Dosyalar
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, the convergence speed and fitness function accuracy have been compared with the original algorithm by developing on the Stochastic Fractal Search (SFS) algorithm. Seven classical mathematical benchmark functions used in testing the optimization algorithms in the literature were used in comparison process. In the original SFS algorithm, the Gaussian walk function is used to find new solution points in diffusion process. The step length in this walk decreases as the iteration progresses and a function depending on generation value is used to provide for a more local search. The improvement in this work is the process of adding chaotic map values to this function. According to simulation results, it is observed that seven chaotic map improves the original algorithm from ten chaotic maps applied to SFS algorithm.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125X
WOS: 000426868700071
GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125X
WOS: 000426868700071
Anahtar Kelimeler
stochastic fractal search, optimization algorithm, chaos theory
Kaynak
2017 International Artificial Intelligence And Data Processing Symposium (Idap)
WoS Q Değeri
N/A
