Measuring evolvability in evolutionary fuzzy robotics
Seung‐Ik Lee, Sung-Bae Cho · 2003
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.