Evolutionary Design of an Analog Filter

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  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
  notes =        "Also known as \cite{6642788}",

Genetic Programming entries for Xuehua Zhang Yao Li