Temperature Determination in Simulated Annealing Using Learning Automata
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Dosyalar
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This paper presents a new method for temperature parameter determination in simulated annealing for escaping local minimum in artificial potential fields. Learning automata for determine parameter is used. Temperature parameter determination cause improving to escape local minimum, high temperature cause robot farther as obstacles and long path. Furthermore, choice low temperature cause robot can't escape local minimum. The simulation results reflects that how the work has improved path and determine temperature.
Açıklama
International Association of Computer;Science and Information Technology (IACSIT)
2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 -- 28 December 2009 through 30 December 2009 -- Dubai -- 79725
2009 International Conference on Computer and Electrical Engineering, ICCEE 2009 -- 28 December 2009 through 30 December 2009 -- Dubai -- 79725
Anahtar Kelimeler
Artificial potential field simulated annealing learning automata, Component
Kaynak
2009 International Conference on Computer and Electrical Engineering, Iccee 2009
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
N/A
Cilt
1
Sayı
Künye
Nooraliei, A., Altun, A. A., (2009). Temperature Determination in Simulated Annealing Using Learning Automata. 2009 International Conference on Computer and Electrical Engineering, Iccee 2009, (1), 114-117. Doi: 10.1109/ICCEE.2009.252