DocumentCode
2770659
Title
Applying steady state in genetic algorithm for robot behaviors
Author
Baneamoon, Saeed Mohammed ; Salam, Rosalina Abdul
Author_Institution
Sch. of Comput. Sci., Univ. Sains Malaysia, Minden
fYear
2008
fDate
1-3 Dec. 2008
Firstpage
1
Lastpage
6
Abstract
In this paper distributed learning classifier system is used to design a control system for robot. We suggest an enhanced approach to determine the steady state values for the strength and the bid of classifiers to call genetic algorithm (GA) that works in rule discovery system in learning classifier system (LCS) in order to improve the efficiency and accuracy of robot to be able to perform its correct action.
Keywords
genetic algorithms; learning (artificial intelligence); robot kinematics; distributed learning classifier system; genetic algorithm; robot behaviors; robot control system design; steady state values; CMOS technology; Decoding; Design engineering; Digital signal processing chips; Digital-analog conversion; Genetic algorithms; Latches; Robots; Steady-state; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Design, 2008. ICED 2008. International Conference on
Conference_Location
Penang
Print_ISBN
978-1-4244-2315-6
Electronic_ISBN
978-1-4244-2315-6
Type
conf
DOI
10.1109/ICED.2008.4786678
Filename
4786678
Link To Document