Measuring evolvability in evolutionary fuzzy robotics

Seung Ik Lee, Sung Bae Cho

Research output: Contribution to conferencePaperpeer-review


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.

Original languageEnglish
Number of pages6
Publication statusPublished - 2002
Event2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States
Duration: 2002 May 122002 May 17


Other2002 Congress on Evolutionary Computation, CEC 2002
Country/TerritoryUnited States
CityHonolulu, HI

All Science Journal Classification (ASJC) codes

  • Software


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