Grammatical Evolution for Neural Network Optimization in the Control System Synthesis Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Kazaryan:2017:PCS,
  author =       "D. E. Kazaryan and A. V. Savinkov",
  title =        "Grammatical Evolution for Neural Network Optimization
                 in the Control System Synthesis Problem",
  journal =      "Procedia Computer Science",
  volume =       "103",
  pages =        "14--19",
  year =         "2017",
  note =         "\{XII\} International Symposium Intelligent Systems
                 2016, \{INTELS\} 2016, 5-7 October 2016, Moscow,
                 Russia",
  ISSN =         "1877-0509",
  DOI =          "doi:10.1016/j.procs.2017.01.002",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1877050917300030",
  abstract =     "Grammatical evolution is a perspective branch of the
                 genetic programming. It uses evolutionary algorithm
                 based search engine and Backus - Naur form of
                 domain-specific language grammar specifications to find
                 symbolic expressions. This paper describes an
                 application of this method to the control function
                 synthesis problem. Feed-forward neural network was used
                 as an approximation of the control function, that
                 depends on the object state variables. Two-stage
                 algorithm is presented: grammatical evolution optimizes
                 neural network structure and genetic algorithm tunes
                 weights. Computational experiments were performed on
                 the simple kinematic model of a two-wheel driving
                 mobile robot. Training was performed on a set of
                 initial conditions. Results show that the proposed
                 algorithm is able to successfully synthesize a control
                 function.",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, control system synthesis, artificial neural
                 networks",
}

Genetic Programming entries for David Kazaryan A V Savinkov

Citations