Designing Multiple ANNs with Evolutionary Development: Activity Dependence

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Miller:2021:GPTP,

• author = "Julian Francis Miller",
• title = "Designing Multiple {ANNs} with Evolutionary Development: Activity Dependence",
• booktitle = "Genetic Programming Theory and Practice XVIII",
• year = "2021",
• editor = "Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel",
• series = "Genetic and Evolutionary Computation",
• pages = "165--180",
• address = "East Lansing, USA",
• month = "19-21 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, ANN",
• isbn13 = "978-981-16-8112-7",
• DOI = "doi:10.1007/978-981-16-8113-4_9",
• abstract = "We use Cartesian genetic programming to evolve developmental programs that construct neural networks. One program represents the neuron soma and the other the dendrite. We show that the evolved programs can build a network from which multiple conventional ANNs can be extracted each of which can solve a different computational problem. We particularly investigate the utility of activity dependence (AD), where the signals passing through dendrites and neurons affect their properties.",
• notes = "Part of \cite{Banzhaf:2021:GPTP} published after the workshop in 2022",

}

Genetic Programming entries for Julian F Miller

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