DocumentCode
1651618
Title
Measuring evolvability in evolutionary fuzzy robotics
Author
Lee, Seung-Ik ; Cho, Sung-Bae
Author_Institution
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Volume
1
fYear
2002
Firstpage
163
Lastpage
168
Abstract
This paper illustrates the evolutionary adaptive process of the rules of a fuzzy controller evolved by a genetic algorithm. Evolutionary activity and schema analysis are used to evaluate and analyze the evolution. The analysis shows that the evolution has been adaptive and final fuzzy rules have evolved from adaptive ones of earlier generations
Keywords
fuzzy control; genetic algorithms; evolutionary adaptive process; evolutionary fuzzy robotics; evolvability measurement; fuzzy controller; genetic algorithm; schema analysis; Adaptive control; Computer science; Fuzzy control; Fuzzy logic; Genetics; Optimal control; Programmable control; Robots; Robustness; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1006227
Filename
1006227
Link To Document