Temperature Determination in Simulated Annealing Using Learning Automata

Author

Nooraliei, Amir ; Altun, Adem Alpaslan

Author_Institution

Member of Young Researchers Club (YRC), Islamic Azad Univ. Hamedan-Branch, Hamedan, Iran

Volume

1

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

114

Lastpage

117

Abstract

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.

Keywords

automata theory; mobile robots; path planning; simulated annealing; artificial potential fields; learning automata; mobile robot; path planning; simulated annealing; temperature parameter determination; Computational modeling; Computer science education; Computer simulation; Learning automata; Mobile robots; Path planning; Robotics and automation; Simulated annealing; Systems engineering education; Temperature; Artificial potential field; component; learning automata; simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-5365-8

Electronic_ISBN

978-0-7695-3925-6

Type

conf

DOI

10.1109/ICCEE.2009.252

Filename

5380658