A genetic programming-based hierarchical clustering procedure for the solution of the cell-formation problem

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{dimmortacd,

• author = "Christos Dimopoulos and Neil Mort",
• title = "A genetic programming-based hierarchical clustering procedure for the solution of the cell-formation problem",
• booktitle = "Adaptive Computing in Design and Manufacture (ACDM 2000)",
• year = "2000",
• editor = "I. C. Parmee",
• pages = "211--222",
• address = "University of Plymouth, Devon, UK",
• publisher = "Springer",
• email = "chris_dimop@hotmail.com",
• ISBN = "1-85233-300-6",
• isbn13 = "978-1-85233-300-3",
• URL = "http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-300-3",
• URL = "http://www.amazon.co.uk/Evolutionary-Design-Manufacture-Selected-Papers/dp/1852333006",
• DOI = "doi:10.1007/978-1-4471-0519-0_17",
• keywords = "genetic algorithms, genetic programming, cellular manufacturing",
• 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",
• 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

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