Design of Fuzzy Logic Controllers Based on Evolvable Hardware Platform
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- @InProceedings{Yu:2010:ICGEC,
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author = "HuaYun Yu and DaBin Zhang",
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title = "Design of Fuzzy Logic Controllers Based on Evolvable
Hardware Platform",
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booktitle = "Fourth International Conference on Genetic and
Evolutionary Computing (ICGEC 2010)",
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year = "2010",
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month = "13-15 " # dec,
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pages = "864--867",
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abstract = "Fuzzy Logic Controllers (FLCS) are rule-based system
that successfully incorporate the flexibility of
human-decision making by means of the use of fuzzy set
theory. This paper provides an overview on evolutionary
learning methods for the automated design and
optimisation of fuzzy logic controllers. A three-stage
evolution framework that uses Genetic Programming (GP)
and Genetic Algorithms (GAS) evolves rule-base and
membership function parameters of FLCS. For hardware
implement of FLCS, We propose an Evolvable Hardware
(EHW) platform for the design of fuzzy logic
controllers. A simulation experiment is shown though
this hybrid model in the design of fuzzy control
systems. In the experiment, membership functions of
input and output variables are defined by three
parameters, called geometric proportional factors,
adding with the scaling factors, which are adjusted to
maximise the performance index by using the Genetic
Algorithm. The fuzzy controller is designed to be more
capability.",
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keywords = "genetic algorithms, genetic programming, EHW,
evolutionary learning methods, evolvable hardware
platform, fuzzy logic controllers, fuzzy set theory,
geometric proportional factors, human-decision making,
membership function, rule-based system, scaling
factors, three-stage evolution framework, control
system synthesis, fuzzy control, fuzzy set theory,
knowledge based systems",
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DOI = "doi:10.1109/ICGEC.2010.219",
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notes = "Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China.
Also known as \cite{5715569}",
- }
Genetic Programming entries for
HuaYun Yu
DaBin Zhang
Citations