Soft computing approaches to production line design

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

@InProceedings{Baykasoglu:2005:ICRM,
  author =       "Adil Baykasoglu",
  title =        "Soft computing approaches to production line design",
  booktitle =    "ICRM'2005 3rd International Conference on Responsive
                 Manufacturing",
  year =         "2005",
  editor =       "Nabil Gindy",
  pages =        "273--279",
  address =      "Guangzhou, China",
  month =        "12-14 " # sep,
  organisation = "University of Nottingham, Guangdong University of
                 Technology",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming, Manufacturing system design,
                 soft computing",
  URL =          "http://delta.cs.cinvestav.mx/~ccoello/EMOO/baykasoglu05a.pdf.gz",
  size =         "5 pages",
  abstract =     "Gene Expression Programming (GEP) is used to develop a
                 meta-model for the multiobjective design of a
                 hypothetical production line. The developed meta-model
                 is used to optimize production line design with
                 Multiple Objective Tabu Search algorithm (MOTS). It is
                 found out that GEP and MOTS can be effectively used to
                 solve production line design problems which are known
                 as complex design problems.",
  notes =        "http://www.icrm2005.org/ broken Nov 2005

                 ",
}

Genetic Programming entries for Adil Baykasoglu

Citations