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Author Jonghyeok Jeong ♦ Se-Young Oh
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1999
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Fuzzy logic ♦ Automatic generation control ♦ Nonlinear control systems ♦ Control systems ♦ Collaboration ♦ Nonlinear dynamical systems ♦ Control system analysis ♦ Performance analysis ♦ Algorithm design and analysis ♦ Automatic control
Abstract In this paper, we propose a rule-level co-evolutionary approach using multiple subpopulations to evolve fuzzy logic controllers (FLCs). Each rule is used as the individual and the subpopulations each comprising a number of candidate rules co-evolve such that the rules belonging to the same subpopulation compete while those in different subpopulations cooperate to achieve the goal of finding a better FLC. During this process, the rules within each subpopulation become specialized into a kind of expert in the corresponding problem domain. For this approach, a simple credit assignment scheme for rule evaluation is introduced to effectively reduce the search space. The superiority of the proposed algorithm over traditional FLC-level evolution approach has been demonstrated by evolving FLCs for a typical nonlinear control problem-the ball and beam system.
Description Author affiliation: Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea (Jonghyeok Jeong)
ISBN 0780355369
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1999-07-06
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 562.30 kB
Page Count 6
Starting Page 2151
Ending Page 2156


Source: IEEE Xplore Digital Library