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Evolved Diffusion Limited Aggregation Compositions

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4974))

Abstract

Diffusion limited aggregation (DLA) is a simulation technique for modeling dendritic growth. It has seen limited use for artistic purposes. We consider an evolutionary scheme for evolving DLA compositions with multiple seed particles. As a consequence we are led to consider robustness and stability issues related to the use of evolutionary computation whose phenotypes invoke inherently random processes.

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Authors and Affiliations

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Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Di Caro Rolf Drechsler Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Jon McCormack Michael O’Neill Juan Romero Franz Rothlauf Giovanni Squillero A. Şima Uyar Shengxiang Yang

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© 2008 Springer-Verlag Berlin Heidelberg

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Greenfield, G. (2008). Evolved Diffusion Limited Aggregation Compositions. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_43

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  • DOI: https://doi.org/10.1007/978-3-540-78761-7_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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