A Novel Approach for the Solution of the Multiobjective Cell-Formation Problem

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

@InProceedings{dimopoulos:2005:ICPR,
  author =       "Christos Dimopoulos",
  title =        "A Novel Approach for the Solution of the
                 Multiobjective Cell-Formation Problem",
  booktitle =    "Proceedings of the International Conference of
                 Production Research (ICPR 05)",
  year =         "2005",
  email =        "dimopoulos@cycollege.ac.cy",
  keywords =     "genetic algorithms, genetic programming, cellular
                 manufacturing, production research, multiobjective
                 optimisation",
  URL =          "http://www.lania.mx/~ccoello/EMOO/dimopoulos05.pdf.gz",
  size =         "6 pages",
  abstract =     "We present a hybrid heuristic methodology for the
                 solution of the multi-objective cell-formation problem.
                 Traditional optimisation methodologies employ
                 aggregating schemes in order to transform the problem
                 into a single-objective case. In this way the designer
                 is not presented with a set of non-dominated solutions
                 but with a single compromise solution based on
                 pre-specified weighting priorities. The proposed
                 methodology combines a traditional hierarchical
                 clustering analysis technique with a genetic
                 programming algorithm that is based on the principles
                 of evolutionary computation. The hybrid methodology
                 evolves an approximation of the Pareto set of solutions
                 for multi-objective cell-formation problems. The
                 benefits brought by the proposed approach in comparison
                 to traditional optimisation methodologies are
                 illustrated using a typical example taken from the
                 literature",
  notes =        "http://icpr18.unisa.it/ Tuesday, August 2 -
                 16.00/18.00 - Room M Session 45 Cellular
                 Manufacturing",
}

Genetic Programming entries for Christos Dimopoulos

Citations