Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{degaris:1993:erGPsrca,
author = "Hugo {de Garis}",
title = "Evolving a Replicator The Genetic Programming of Self
Reproduction in Cellular Automata",
booktitle = "ECAL-93 Self organisation and life: from simple rules
to global complexity",
year = "1993",
pages = "274--284",
address = "CP 231, Universite Libre de Bruxelles, Bld. du
Triomphe, 1050 Brussels, Belgium, Fax 32-2-659.5767
Phone 32-2-650.5776 Email sgross@ulb.ac.be",
month = "24--26 " # may,
organisation = "Centre for Non-Linear Phenomena and Complex Systems",
email = "degaris@hip.att.co.jp",
keywords = "genetic algorithms, genetic programming,
nonotechnology, nanots, artificial life,
Qantum-electronic computers, Darwin machines",
URL = "
http://www.iss.whu.edu.cn/degaris/papers/ECAL93.pdf",
URL = "
http://citeseer.ist.psu.edu/521663.html",
size = "11 pages",
abstract = "Presents results from the evolution of cellular
automata replicators using GP (ie using GAs to
build/evolve systems. 1: How difficult is the evolution
of CA replicators (intersity to Artificial Life), 2:
Evolving CAs may provide tools for quantum-electronic
computers (eg quantum dot arrays)",
notes = "There seems to be some doubt as to wether ECAL-93 was
published. This copy from attendee.
GA chromosome is fixed (1024 * 4 CA state values)
encoding the CA state transition rules.
{"}Evolving CA replicators is much harder than
initially thought{"}
Now working on CA networks cf Von Neuman, Codd,
Burks.",
}
Genetic Programming entries for Hugo de Garis