Design of Fuzzy Logic Controllers Based on Evolvable Hardware Platform

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Yu:2010:ICGEC,

• author = "HuaYun Yu and DaBin Zhang",
• title = "Design of Fuzzy Logic Controllers Based on Evolvable Hardware Platform",
• booktitle = "Fourth International Conference on Genetic and Evolutionary Computing (ICGEC 2010)",
• year = "2010",
• month = "13-15 " # dec,
• pages = "864--867",
• 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.",
• 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",
• DOI = "doi:10.1109/ICGEC.2010.219",
• notes = "Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China. Also known as \cite{5715569}",

}

Genetic Programming entries for HuaYun Yu DaBin Zhang

Citations