Genetic programming for evolving programs with loop structures for classification tasks

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Fahmi Abdulhamid and Kourosh Neshatian and 
                 Mengjie Zhang",
  title =        "Genetic programming for evolving programs with loop
                 structures for classification tasks",
  booktitle =    "5th International Conference on Automation, Robotics
                 and Applications (ICARA 2011)",
  year =         "2011",
  month =        "6-8 " # dec,
  pages =        "202--207",
  address =      "Wellington, New Zealand",
  size =         "6 pages",
  abstract =     "Object recognition and classification are important
                 tasks in robotics. Genetic Programming (GP) is a
                 powerful technique that has been successfully used to
                 automatically generate (evolve) classifiers. The
                 effectiveness of GP is limited by the expressiveness of
                 the functions used to evolve programs. It is believed
                 that loop structures can considerably improve the
                 quality of GP programs in terms of both performance and
                 interpretability. This paper proposes five new loop
                 structures using which GP can evolve compact programs
                 that can perform sophisticated processing. The use of
                 loop structures in GP is evaluated against GP with no
                 loops for both image and non-image classification
                 tasks. Evolved programs using the proposed loop
                 structures are analysed in several problems. The
                 results show that loop structures can increase
                 classification accuracy compared to GP with no loops.",
  keywords =     "genetic algorithms, genetic programming, evolving
                 program, image classification task, nonimage
                 classification task, object classification task, object
                 recognition task, program loop structure, robotics,
                 image classification, learning (artificial
                 intelligence), object recognition, robot vision",
  DOI =          "doi:10.1109/ICARA.2011.6144882",
  notes =        "Also known as \cite{6144882}",

Genetic Programming entries for Fahmi Abdulhamid Kourosh Neshatian Mengjie Zhang