Evolutionary Design of an Analog Filter

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Zhang:2013:IHMSC,

• author = "Xuehua Zhang and Yao Li",
• booktitle = "5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2013)",
• title = "Evolutionary Design of an Analog Filter",
• year = "2013",
• month = aug,
• volume = "2",
• pages = "474--477",
• keywords = "genetic algorithms, genetic programming, analogue filter, evolutionary design, simulation experiment",
• DOI = "doi:10.1109/IHMSC.2013.260",
• abstract = "In order to improve accuracy of parameters and performance indexes for the filter, improve quality of the filter and meet the real-time requirements, an evolvable hardware structure and design method for an analog filter is presented in the paper. Evolvable hardware structure for the filter is devised by genetic programming. Optimisation design of Parameters for the filter is realised by improved multi-objective adaptive genetic algorithm. Experiment shows that values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.",
• notes = "Also known as \cite{6642788}",

}

Genetic Programming entries for Xuehua Zhang Yao Li

Citations