Evolving Artificial Trees Described by Parametric L-Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{kokai1999-1,
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author = "Gabriella K\'okai and Zolt\'an T\'oth and
Robert V\'anyi",
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title = "Evolving Artificial Trees Described by Parametric
{L}-Systems",
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booktitle = "Proceedings of the First Canadian Workshop on Soft
Computing",
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year = "1999",
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pages = "1722--1728",
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address = "Edmonton, Alberta, Canada",
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month = "9 " # may,
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keywords = "genetic algorithms, genetic programming, lindenmayer
L-systems",
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ISBN = "0-7803-5579-2",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/23884/http:zSzzSzwww2.informatik.uni-erlangen.dezSz~kokaizSzpaperszSzppsn_g.pdf/evolving-artificial-trees-described.pdf",
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URL = "http://citeseer.ist.psu.edu/464865.html",
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DOI = "doi:10.1109/CCECE.1999.804977",
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abstract = "Describes a solution of the inverse problem for
parametric Lindenmayer systems (L-systems) with genetic
algorithms. The inverse problem studied is that of
evolving Lindenmayer grammars to describe plants. A
genetic algorithm is used to evolve the rewriting rules
and the set of system parameters. In this paper, we
present on extension of the solution of G. Ochoa (1998)
and K.J. Mock (1998), by which genetic algorithms are
applied to simulate the evolution of artificial plant
morphologies. Three main improvements are described:
(1) more populations are processed in parallel; (2) an
adaptation scheme for the application probability of
genetic operators is applied; (3) the turtle graphics
system is modified so that 3D structures such as trees
can be evolved and drawn",
- }
Genetic Programming entries for
Gabriella Kokai
Zoltan Toth
Robert Vanyi
Citations