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
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006227
