GADS and Reusability

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "{GADS} and Reusability",
  author =       "Y. Al-Bastaki and W. Awad",
  year =         "2010",
  journal =      "Journal of Artificial Intelligence",
  volume =       "3",
  number =       "2",
  pages =        "67--77",
  keywords =     "genetic algorithms, genetic programming, GADS,
  URL =          "",
  broken =       "\&genre=article\&issn=19945450\&date=2010\&volume=3\&issue=2\&spage=67",
  ISSN =         "19945450",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  oai =          "oai:doaj-articles:8a4dfe5674530875df3b83ea84856118",
  publisher =    "Asian Network for Scientific Information",
  size =         "6 pages",
  abstract =     "Genetic programming is a domain-independent method
                 that genetically breeds population of computer programs
                 to solve problems. Genetic programming is considered to
                 be a machine learning technique used to optimise a
                 population of computer programs according to a fitness
                 landscape determined by a program's ability to perform
                 a given computational task. There are a number of
                 representation methods to illustrate these programs,
                 such as LISP expressions and integer lists. This study
                 investigated the effectiveness of genetic programming
                 in solving the symbolic regression problem where, the
                 population programs are expressed as integer sequences
                 rather than lisp expressions. This study also
                 introduced the concept of reusable program to genetic
                 algorithm for developing software.",
  notes =        "BNF grammar, ADF, linear GP",

Genetic Programming entries for Yousif Al-Bastaki Wasan Shaker Awad Hemoud