Developmental Plasticity in Cartesian Genetic Programming based Neural Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{icinco2011-khan,

• author = "Maryam Mahsal Khan and Gul Muhammad Khan and Julian F. Miller",
• title = "Developmental Plasticity in Cartesian Genetic Programming based Neural Networks",
• booktitle = "Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2011)",
• year = "2011",
• editor = "Jean-Louis Ferrier and Alain Bernard and Oleg Yu. Gusikhin and Kurosh Madani",
• volume = "1",
• pages = "449--458",
• address = "Noordwijkerhout, The Netherlands",
• month = "28-31 " # jul,
• publisher = "SciTePress",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Generative and Developmental Approaches, NeuroEvolutionary algorithms, Pole Balancing",
• isbn13 = "978-989-8425-74-4",
• bibdate = "2012-05-02",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icinco/icinco2011-1.html#KhanKM11",
• URL = "http://www.cartesiangp.co.uk/papers/icinco2011-khan.pdf",
• DOI = "doi:10.5220/0003615204490458",
• size = "11 pages",
• abstract = "This work presents a method for exploiting developmental plasticity in Artificial Neural Networks using Cartesian Genetic Programming. This is inspired by developmental plasticity that exists in the biological brain allowing it to adapt to a changing environment. The network architecture used is that of a static Cartesian Genetic Programming ANN, which has recently been introduced. The network is plastic in terms of its dynamic architecture, connectivity, weights and functionality that can change in response to the environmental signals. The dynamic capabilities of the algorithm are tested on a standard benchmark linear/non-linear control problems (i.e. pole-balancing).",

}

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

Citations