A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{chrnei01,
  author =       "Christos Dimopoulos and Neil Mort",
  title =        "A hierarchical clustering methodology based on genetic
                 programming for the solution of simple cell-formation
                 problems",
  journal =      "International Journal of Production Research",
  year =         "2001",
  volume =       "39",
  number =       "1",
  pages =        "1--19",
  email =        "chris_dimop@hotmail.com",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "00207543",
  DOI =          "doi:10.1080/00207540150208835",
  abstract =     "The problem of identifying machine cells and
                 corresponding part families in cellular manufacturing
                 has been extensively researched over the last thirty
                 years. However, the complexity of the problem and the
                 considerable number of issues involved in its solution
                 create the need for increasingly efficient algorithms.
                 In this paper we investigate the use of Genetic
                 Programming for the solution of a simple version of the
                 problem. The methodology is tested on a number of test
                 problems taken from the literature and comparative
                 results are presented",
}

Genetic Programming entries for Christos Dimopoulos Neil Mort

Citations