Scatter Programming

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

  author =       "Abdel-Rahman Hedar and Mostafa Kamel Osman",
  title =        "Scatter Programming",
  booktitle =    "2nd International Conference on Computer Technology
                 and Development (ICCTD), 2010",
  year =         "2010",
  month =        "2-4 " # nov,
  pages =        "451--455",
  address =      "Cairo",
  abstract =     "The core of artificial intelligence and machine
                 learning is to get computers to solve problems
                 automatically. One of the great tools that attempt to
                 achieve that goal is Genetic Programming (GP). As
                 alternatives to GP, Scatter Programming (SP) is
                 proposed in this paper. One of the main features of SP
                 is to exploit local search in order to overcome some
                 recently addressed drawbacks of GP, especially its
                 highly disruption of its main operations; crossover and
                 mutation. This work shows that SP has promising
                 performance and results in solving machine learning
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, grammatical evolution, artificial
                 intelligence, machine learning, scatter programming,
                 learning (artificial intelligence)",
  DOI =          "doi:10.1109/ICCTD.2010.5645839",
  notes =        "symbolic regression, 6-mux. Also known as

Genetic Programming entries for Abdel-Rahman Hedar Mostafa Kamel Osman