Information
- Publication Type: Technical Report
- Workgroup(s)/Project(s): not specified
- Date: January 1996
- Number: TR-186-2-96-04
- Keywords: Genetic algorithms, artificial evolution, CSG-PL-systems, natural phenomena
Abstract
PL-systems are a powerful and flexible technique for plant
modeling. Unfortunately it is a hard task to specify a
PL-system, that generates a desired plant. Especially the
tuning of the parameter values is time consuming and demands
a lot of experience from the user. In this paper we describe
how to apply genetic algorithms to CSG-PL-systems, which are
a special class of PL-systems. A decomposition of
CSG-PL-systems is introduced to extract those parts, which
can serve as genotype. Mutation and mating, the two major
operations of evolution techniques, are applied to this data
set. With the described method it is possible to find easily
natural looking individuals out of a species that is
described in an abstract way by the underlying CSG-PL-system.
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BibTeX
@techreport{Traxler-1996-GAI,
title = "Using Genetic Algorithms to Improve the Visual Quality of
Fractal Plants Generated with CSG-PL-Systems",
author = "Christoph Traxler and Michael Gervautz",
year = "1996",
abstract = "PL-systems are a powerful and flexible technique for plant
modeling. Unfortunately it is a hard task to specify a
PL-system, that generates a desired plant. Especially the
tuning of the parameter values is time consuming and demands
a lot of experience from the user. In this paper we describe
how to apply genetic algorithms to CSG-PL-systems, which are
a special class of PL-systems. A decomposition of
CSG-PL-systems is introduced to extract those parts, which
can serve as genotype. Mutation and mating, the two major
operations of evolution techniques, are applied to this data
set. With the described method it is possible to find easily
natural looking individuals out of a species that is
described in an abstract way by the underlying
CSG-PL-system.",
month = jan,
number = "TR-186-2-96-04",
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
institution = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
note = "human contact: technical-report@cg.tuwien.ac.at",
keywords = "Genetic algorithms, artificial evolution, CSG-PL-systems,
natural phenomena",
URL = "https://www.cg.tuwien.ac.at/research/publications/1996/Traxler-1996-GAI/",
}