Evolving similarity coefficients for the solution of cellular manufacturing problems
Created by W.Langdon from
gpbibliography.bib Revision:1.4951
 @InProceedings{dimmort00,

author = "Christos Dimopoulos and Neil Mort",

title = "Evolving similarity coefficients for the solution of
cellular manufacturing problems",

booktitle = "Proceedings of the Congress on Evolutionary
Computation (CEC 2000)",

year = "2000",

pages = "617624",

volume = "1",

address = "La Jolla Marriott Hotel La Jolla, California, USA",

publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
088551331, USA",

month = "69 " # jul,

organisation = "IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)",

publisher = "IEEE Press",

email = "chris_dimop@hotmail.com",

keywords = "genetic algorithms, genetic programming, cell
formation, similarity coefficients, engineering
applications, Jaccard similarity coefficient, cell
formation problem, cellular manufacturing problems,
cellular manufacturing system, clustering procedure,
evolved coefficients, evolving similarity coefficients,
genetic programming algorithm, hierarchical clustering
procedures, manufacturing optimisation problem,
similarity coefficients, simple cell formation
problems, flexible manufacturing systems, pattern
clustering",

DOI = "doi:10.1109/CEC.2000.870355",

ISBN = "0780363752",

abstract = "The cell formation problem is a classic manufacturing
optimisation problem associated with the implementation
of a cellular manufacturing system. A variety of
hierarchical clustering procedures have been proposed
for the solution of this problem. Essential for the
operation of a clustering procedure is the
determination of a form of similarity between the
objects that are going to be grouped. In this paper we
employ a Genetic Programming algorithm for the
evolution of new similarity coefficients for the
solution of simple cell formation problems. Evolved
coefficients are tested against the wellknown
Jaccard's similarity coefficient on a large number of
problems taken from the literature",

notes = "also called \cite{dimopoulos:2000:ESCSCMP}
\cite{870355}. CEC2000  A joint meeting of the IEEE,
Evolutionary Programming Society, Galesia, and the
IEE.
IEEE Catalog Number = 00TH8512,
Library of Congress Number = 00018644",
 }
Genetic Programming entries for
Christos Dimopoulos
Neil Mort
Citations