A Developmental Artificial Neural Network Model for Solving Multiple Problems

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

@InProceedings{Miller:2017:GECCO,

• author = "Julian F. Miller and Dennis G. Wilson",
• title = "A Developmental Artificial Neural Network Model for Solving Multiple Problems",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "69--70",
• month = "15-19 " # jul,
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, artificial neural networks, ANN, classification",
• URL = "http://doi.acm.org/10.1145/3067695.3075976",
• DOI = "doi:10.1145/3067695.3075976",
• acmid = "3075976",
• size = "2 pages",
• abstract = "A developmental model of an artificial neuron is presented. In this model, a pair of neural developmental programs develop an entire artificial neural network of arbitrary size. The pair of neural chromosomes are evolved using Cartesian Genetic Programming. During development, neurons and their connections can move, change, die or be created. We show that this two-chromosome genotype can be evolved to develop into a single neural network from which multiple conventional artificial neural networks can be extracted. The extracted conventional ANNs share some neurons across tasks. We have evaluated the performance of this method on three standard classification problems. The evolved pair of neuron programs can generate artificial neural networks that perform reasonably well on all three benchmark problems simultaneously. It appears to be the first attempt to solve multiple standard classification problems using a developmental approach.",
• notes = "Also known as \cite{Miller:2017:DAN:3067695.3075976} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Julian F Miller Dennis G Wilson

Citations