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

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@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