Solving cell-formation problems under alternative quality criteria and constraints with a genetic programming-based hierarchical clustering algorithm

by

Dimopoulos, C. and Mort, N.

Literature search on Evolutionary ComputationBBase ©1999-2013, Rasmus K. Ursem
     Home · Search · Adv. search · Authors · Login · Add entries   Webmaster
Note to authors: Please submit your bibliography and contact information - online papers are more frequently cited.

Info: Proceedings of the Sixth International Conference on Control, Automation, Robotics and Vision (Conference proceedings), 2000
Keywords:genetic programming, cell formation
Abstract:
Cellular manufacturing [CM] is a modern approach to the implementation of efficient manufacturing systems. [MS] The solution of the cell formation problem [CF] is an essential step for the design of a cellular manufacturing system. [CM] In this paper we present a novel Genetic Programming-based methodology for the solution of the cell-formation problem. The proposed methodology is tested on a cell formation problem [CF] taken from the literature under alternative quality criteria and size constraints
Internet search:Search Google
Search Google Scholar
Search Citeseer using Google
Search Google for PDF
Search Google Scholar for PDF
Search Citeseer for PDF using Google

Review item:

Mark as doublet (will be reviewed)

Print entry




BibTex:
@InProceedings{chrnei00,
  author =       "Christos Dimopoulos and Neil Mort",
  title =        "Solving cell-formation problems under alternative
                 quality criteria and constraints with a genetic
                 programming-based hierarchical clustering algorithm",
  booktitle =    "Proceedings of the Sixth International Conference on
                 Control, Automation, Robotics and Vision",
  year =         "2000",
  keywords =     "genetic programming, cell formation",
  abstract =     "Cellular manufacturing is a modern approach to the
                 implementation of efficient manufacturing systems. The
                 solution of the cell formation problem is an essential
                 step for the design of a cellular manufacturing system.
                 In this paper we present a novel Genetic
                 Programming-based methodology for the solution of the
                 cell-formation problem. The proposed methodology is
                 tested on a cell formation problem taken from the
                 literature under alternative quality criteria and size
                 constraints",
}