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FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3610))

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Abstract

L-system is a grammar-like formalism introduced to simulate the development of organisms. The L-system grammar can be viewed as a sort of genetic information that will be used to generate a specific structure. However, throughout development, the string (genetic information) that will effectively be used to ‘draw’ the phenotype of an individual is a result of the derivation of the L-system grammar. This work investigates the effect of applying a genetic programming approach to evolve derived L-systems instead of evolving the Lsystem grammar. The crossing over of plants from different species results in hybrid plants resembling a ‘Frankstree’, i.e. plants resultant from phenotypically different parents that present unusual body structures.

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Author information

Authors and Affiliations

  1. Graduate Program in Computer Science, Catholic University of Santos, R. Carvalho de Mendonça, 144, Vila Mathias, Santos/SP, Brasil

    Danilo Mattos Bonfim & Leandro Nunes de Castro

Authors
  1. Danilo Mattos Bonfim
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  2. Leandro Nunes de Castro
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Bonfim, D.M., de Castro, L.N. (2005). FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539087_168

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  • DOI: https://doi.org/10.1007/11539087_168

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28323-2

  • Online ISBN: 978-3-540-31853-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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