Recognition of Objects by Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Nerses Safaryan and Hakob Sarukhanyan",
  title =        "Recognition of Objects by Using Genetic Programming",
  journal =      "International Journal of Advanced Computer Science and
  year =         "2013",
  number =       "12",
  volume =       "4",
  pages =        "132--136",
  keywords =     "genetic algorithms, genetic programming, GP,
                 terminals, fitness, selection, crossover, mutation,
                 ground truth",
  publisher =    "The Science and Information (SAI) Organization",
  bibsource =    "OAI-PMH server at",
  description =  "International Journal of Advanced Computer Science and
                 Applications(IJACSA), 4(12), 2013",
  language =     "eng",
  oai =          "",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "This document is devoted to the task of object
                 detection and recognition in digital images by using
                 genetic programming. The goal was to improve and
                 simplify existing approaches. The detection and
                 recognition are achieved by means of extracting the
                 features. A genetic program is used to extract and
                 classify features of objects. Simple features and
                 primitive operators are processed in genetic
                 programming operations. We are trying to detect and to
                 recognise objects in SAR images. Due to the new
                 approach described in this article, five and seven
                 types of objects were recognised with good recognition

Genetic Programming entries for Nerses Safaryan Hakob G Sarukhanyan