Generation of tests for programming challenge tasks using evolution algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Maxim Buzdalov",
  title =        "Generation of tests for programming challenge tasks
                 using evolution algorithms",
  booktitle =    "GECCO 2011 Graduate students workshop",
  year =         "2011",
  editor =       "Miguel Nicolau",
  isbn13 =       "978-1-4503-0690-4",
  keywords =     "genetic algorithms, genetic programming, SBSE",
  pages =        "763--766",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001858.2002086",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In this paper, an automated method for generation of
                 tests in order to detect inefficient (slow) solutions
                 for programming challenge tasks is proposed. The method
                 is based on genetic algorithms.

                 The proposed method was applied to a task from the
                 Internet problem archive - the Timus Online Judge. For
                 this problem, none of the existed solutions passed the
                 generated set of tests.",
  notes =        "Also known as \cite{2002086} Distributed on CD-ROM at

                 ACM Order Number 910112.",

Genetic Programming entries for Maxim Buzdalov