Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming

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

@InProceedings{conf/icai/KhanKM10,

• title = "Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming",
• author = "Maryam Mahsal Khan and Gul Muhammad Khan and Julian Francis Miller",
• booktitle = "Proceedings of the 2010 International Conference on Artificial Intelligence, {ICAI} 2010, July 12-15, 2010, Las Vegas Nevada, {USA}, 2 Volumes",
• publisher = "CSREA Press",
• year = "2010",
• editor = "Hamid R. Arabnia and David de la Fuente and Elena B. Kozerenko and Jos{\'e} Angel Olivas and Rui Chang and Peter M. LaMonica and Raymond A. Liuzzi and Ashu M. G. Solo",
• isbn13 = "1-60132-148-1",
• pages = "339--346",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• URL = "http://www.cartesiangp.co.uk/papers/icai2010-khan.pdf",
• size = "8 pages",
• abstract = "A method for evolving artificial neural networks using Cartesian Genetic Programming (CGPANN) is proposed. The CGPANN technique encodes the neural network attributes namely weights, topology and functions and then evolves them. The performance of the algorithm is evaluated on the well known benchmark problem of double pole balancing, a nonlinear control problem. The phenotype of CGP is transformed into ANN and tested under various conditions in the task environment. Results demonstrate that CGPANN has the ability to generalise neural architecture and parameters in substantially fewer number of evaluations in comparison to earlier neuroevolutionary techniques. We have also tested the CGPANN for generalisation with different initial states (not encountered during evolution) over a range of evolved genotypes and obtained good results.",
• bibdate = "2010-12-07",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icai/icai2010.html#KhanKM10",

}

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

Citations