- author = "Guillaume Poncin",
- title = "Evolving {3D} Models of Trees Using Genetic Programming",
- booktitle = "Genetic Algorithms and Genetic Programming at Stanford 2003",
- year = "2003",
- editor = "John R. Koza",
- pages = "153--162",
- address = "Stanford, California, 94305-3079 USA",
- month = "4 " # dec,
- publisher = "Stanford Bookstore",
- keywords = "genetic algorithms, genetic programming, STGP",
-
URL = "
http://www.genetic-programming.org/sp2003/Poncin.pdf",
- size = "10 pages",
- abstract = "This paper describes a technique to evolve 3D models of plants based on deterministic automata. It uses cellular encoding to obtain these automata from trees evolved in standard genetic programming software. The fitness is a combination of high-level characteristics of the model, including overall shape, number of branches and geometric characteristics. We introduce a grid-based constraint evaluation as a way for the designer to shape a tree. This approach can be extended to modelling more than plants.",
-
notes = "part of \cite{koza:2003:gagp}
not Lindenmayer, gruau's cellular encoding, development, VRML, lilgp",
