A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.7185

@InProceedings{gruau:1996:ceVdeGNN,

• author = "Frederic Gruau and Darrell Whitley and Larry Pyeatt",
• title = "A Comparison between Cellular Encoding and Direct Encoding for Genetic Neural Networks",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming",
• pages = "81--89",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• URL = "http://www.cs.colostate.edu/~genitor/1996/gp96.ps.gz",
• size = "9 pages",
• abstract = "This paper compares the efficiency of two encoding schemes for Artificial Neural Networks optimised by evolutionary algorithms. Direct Encoding encodes the weights for an a priori fixed neural network architecture. Cellular Encoding encodes both weights and the architecture of the neural network. In previous studies, Direct Encoding and Cellular Encoding have been used to create neural networks for balancing 1 and 2 poles attached to a cart on a fixed track. The poles are balanced...",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap10.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• notes = "See also \cite{HeidrichMeisner2009152}. GP-96",

}

Genetic Programming entries for Frederic Gruau L Darrell Whitley Larry Pyeatt

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