Measuring evolvability in evolutionary fuzzy robotics

Seung Ik Lee; Sung Bae Cho

doi:10.1109/CEC.2002.1006227

Measuring evolvability in evolutionary fuzzy robotics

Seung Ik Lee, Sung Bae Cho

College of Computing

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	163-168
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2002.1006227
Publication status	Published - 2002
Event	2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States Duration: 2002 May 12 → 2002 May 17

Other

Other	2002 Congress on Evolutionary Computation, CEC 2002
Country/Territory	United States
City	Honolulu, HI
Period	02/5/12 → 02/5/17

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10.1109/CEC.2002.1006227

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title = "Measuring evolvability in evolutionary fuzzy robotics",

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.",

author = "Lee, {Seung Ik} and Cho, {Sung Bae}",

year = "2002",

doi = "10.1109/CEC.2002.1006227",

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AU - Cho, Sung Bae

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T2 - 2002 Congress on Evolutionary Computation, CEC 2002

Y2 - 12 May 2002 through 17 May 2002

ER -

Measuring evolvability in evolutionary fuzzy robotics

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