Evolution of the Topology and the Weights of Neural Networks using Genetic Programming with a Dual Representation

Created by W.Langdon from gp-bibliography.bib Revision:1.7970

@Article{Pujol:1998:etwNNGP,

• author = "Joao Carlos Figueira Pujol and Riccardo Poli",
• title = "Evolution of the Topology and the Weights of Neural Networks using Genetic Programming with a Dual Representation",
• journal = "Applied Intelligence",
• year = "1998",
• volume = "8",
• pages = "73--84",
• email = "J.Pujol@cs.bham.ac.uk R.Poli@cs.bham.ac.uk",
• keywords = "genetic algorithms, genetic programming, Evolutionary computation, neural networks, PDGP",
• broken = "http://www.urano.cdtn.br/~pujol/ai98.ps",
• URL = "http://cswww.essex.ac.uk/staff/poli/papers/Pujol-AI-1998.pdf",
• URL = "http://citeseer.ist.psu.edu/336222.html",
• URL = "http://citeseer.ist.psu.edu/322291.html",
• DOI = "doi:10.1023/A:1008272615525",
• size = "12 pages",
• abstract = "Evolutionary computation is a class of global search techniques based on the learning process of a population of potential solutions to a given problem, that has been successfully applied to a variety of problems. In this paper a new approach to the construction of neural networks based on evolutionary computation is presented. A linear chromosome combined to a graph representation of the network are used by genetic operators, which allow the evolution of the architecture and the weights simultaneously without the need of local weight optimization. This paper describes the approach, the operators and reports results of the application of this technique to several binary classification problems.",
• notes = "see also \cite{Pujol:1997:etwNNGP} XOR, 3,4,5 odd parity, T an C character (TC) recognition problem",

}

Genetic Programming entries for Joao Carlos Figueira Pujol Riccardo Poli

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