Method of Binary Analytic Programming to Look for Optimal Mathematical Expression

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

  author =       "A. I. Diveev and N. B. Konyrbaev and E. A. Sofronova",
  title =        "Method of Binary Analytic Programming to Look for
                 Optimal Mathematical Expression",
  journal =      "Procedia Computer Science",
  volume =       "103",
  pages =        "597--604",
  year =         "2017",
  note =         "\{XII\} International Symposium Intelligent Systems
                 2016, \{INTELS\} 2016, 5-7 October 2016, Moscow,
  ISSN =         "1877-0509",
  DOI =          "doi:10.1016/j.procs.2017.01.073",
  URL =          "",
  abstract =     "In the known methods of symbolical regression by
                 search of the solution with the help of a genetic
                 algorithm, there is a problem of crossover. Genetic
                 programming performs a crossover only in certain
                 points. Grammatical evolution often corrects a code
                 after a crossover. Other methods of symbolical
                 regression use excess elements in a code for
                 elimination of this shortcoming. The work presents a
                 new method of symbolic regression on base of binary
                 computing trees. The method has no problems with a
                 crossover. Method use a coding in the form of a set of
                 integer numbers like analytic programming. The work
                 describes the new method and some examples of codding
                 for mathematical expressions.",
  keywords =     "genetic algorithms, genetic programming, symbolic
                 regression, analytic programming",

Genetic Programming entries for Askhat Diveev Ibraghimovich N B Konyrbaev Elena A Sofronova