Temperature Determination in Simulated Annealing Using Learning Automata

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Tarih

2009

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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

Anahtar Kelimeler

Artificial potential field simulated annealing learning automata, Component

Kaynak

2009 International Conference on Computer and Electrical Engineering, Iccee 2009

WoS Q DeÄŸeri

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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