Evolution of neural networks using Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Khan:2010:cec,

• author = "Maryam Mahsal Khan and Gul Muhammad Khan and Julian F. Miller",
• title = "Evolution of neural networks using Cartesian Genetic Programming",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "A novel Neuroevolutionary technique based on Cartesian Genetic Programming is proposed (CGPANN). ANNs are encoded and evolved using a representation adapted from the CGP. We have tested the new approach on the single pole balancing problem. Results show that CGPANN evolves solutions faster and of higher quality than the most powerful algorithms of Neuroevolution in the literature.",
• DOI = "doi:10.1109/CEC.2010.5586547",
• notes = "WCCI 2010. Also known as \cite{5586547}",

}

Genetic Programming entries for Maryam Mahsal Khan Gul Muhammad Khan Julian F Miller

Citations