A genetic programming-based hierarchical clustering procedure for the solution of the cell-formation problem
Created by W.Langdon from
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- @InProceedings{dimmortacd,
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author = "Christos Dimopoulos and Neil Mort",
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title = "A genetic programming-based hierarchical clustering
procedure for the solution of the cell-formation
problem",
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booktitle = "Adaptive Computing in Design and Manufacture (ACDM
2000)",
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year = "2000",
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editor = "I. C. Parmee",
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pages = "211--222",
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address = "University of Plymouth, Devon, UK",
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publisher = "Springer",
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email = "chris_dimop@hotmail.com",
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ISBN = "1-85233-300-6",
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isbn13 = "978-1-85233-300-3",
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URL = "http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-300-3",
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URL = "http://www.amazon.co.uk/Evolutionary-Design-Manufacture-Selected-Papers/dp/1852333006",
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DOI = "doi:10.1007/978-1-4471-0519-0_17",
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keywords = "genetic algorithms, genetic programming, cellular
manufacturing",
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abstract = "Cellular manufacturing is the implementation of group
technology in the manufacturing process. A key issue
during the design of a cellular manufacturing system is
the configuration of machine cells and part families
within the plant. In this paper we present a
hierarchical clustering procedure for the solution of
the cell-formation problem which is based on the use of
Genetic Programming for the evolution of similarity
coefficients between pairs of machines in the plant.
The performance of the methodology is illustrated on a
number of test problems taken from the literature",
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notes = "Evolutionary design and Manufacture Selected Papers
from ACDM '00. 4.4. Nov 2012, Currently out of stock",
- }
Genetic Programming entries for
Christos Dimopoulos
Neil Mort
Citations