An investigation into the structure of genomes within an evolution that uses embryogenesis

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{DBLP:conf/gecco/RoyAS09,

• author = "Anthony M. Roy and Erik K. Antonsson and Andrew A. Shapiro",
• title = "An investigation into the structure of genomes within an evolution that uses embryogenesis",
• booktitle = "GECCO-2009 Late-Breaking Papers",
• year = "2009",
• editor = "Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore",
• pages = "2137--2142",
• address = "Montreal",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• month = "8-12 " # jul,
• organisation = "SigEvo",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-60558-325-9",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• DOI = "doi:10.1145/1570256.1570290",
• abstract = "Evolutionary algorithms that use embryogenesis in the creation of individuals have several desirable qualities. Such algorithms are able to create complex, modular designs which can scale well to large problems. However, the inner workings of developmental algorithms have not been investigated as thoroughly as their direct-encoding counterparts. More precisely, it would be beneficial to look at how the rules used during embryogenesis evolve alongside the phenotypes they produced. This paper reports on such an investigation into the evolution of a rule set for the growth of an artificial neural network, and identifies several aspects that are desirable for the genomes of a developmental evolutionary algorithm.",
• notes = "Distributed on CD-ROM at GECCO-2009.

  ACM Order Number 910092.",

}

Genetic Programming entries for Anthony M Roy Erik K Antonsson Andrew A Shapiro

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