Application of Genetic Algorithms with more Populations for Lindenmayer Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{kokai1998,
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author = "Gabriella K\'okai and Zolt\'an T\'oth and
Robert V\'anyi",
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title = "Application of Genetic Algorithms with more
Populations for {Lindenmayer} Systems",
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booktitle = "Proceedings of the International Symposium on
Engineering of Intelligent Systems, EIS'98",
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year = "1998",
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editor = "E. Alpaydin and Colin Fyfe",
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pages = "324--331",
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keywords = "genetic algorithms, genetic programming, lindenmayer
L-systems",
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URL = "http://www.inf.u-szeged.hu/~kokai/papers/kanari.ps.gz",
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URL = "http://citeseer.ist.psu.edu/515449.html",
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size = "7 pages",
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abstract = "The paper describes a solution of the inverse problem
for Lindenmayer systems with genetic programming.
Inverse problem means that we try to evolve Lindenmayer
grammars to describe fractal images. Genetic algorithm
is used to evolve the rewriting rules of the system. As
a starting point the solutions of Koza [7] and Jacob
[6] is applied but these solutions were extended: for
different types of fractal images, and we executed some
modifications: more populations are processed parallel
during the evolution process, where the selection of
the individuals after the meeting of the populations
can happen on the basis of either the best or the
median fitness value or the user himself can select
from the individuals. A further improvement we applied
is an adaptation scheme for the application probability
of genetic operators. With the help of this method,
operators which produce better individuals can be used
more frequently, so better individuals are more likely
produced. Thus, with the help of them the speed of
convergence can be significantly increased.",
- }
Genetic Programming entries for
Gabriella Kokai
Zoltan Toth
Robert Vanyi
Citations