Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{coates:1997:GPx3dw,
author = "T. Broughton and A. Tan and Paul S. Coates",
title = "The use of Genetic programing in Exploring 3{D} Design
Worlds",
booktitle = "CAAD Futures 97",
year = "1997",
editor = "Richard Junge",
pages = "885--917",
address = "Technical University Munich, Germany",
month = "4-6 " # aug,
publisher = "Kluwer Academic Publishers",
keywords = "genetic algorithms, genetic programming",
ISBN = "0-7923-4726-9",
URL = "
http://www.caadfutures.org/proceedings_97.htm",
URL = "
http://roar.uel.ac.uk/jspui/bitstream/10552/854/1/Broughton%2c%20T%20%281997%29%20CAAD%20Futures%20pp.%20885.pdf",
size = "32 pages",
abstract = "Genetic algorithms are used to evolve rule systems for
a generative process, in one case a shape grammar,which
uses the 'Dawkins Biomorph' paradigm of user driven
choices to perform artificial selection, in the other a
CA/Lindenmeyer system using the Hausdorff dimension of
the resultant configuration to drive natural
selection.
1) Using Genetic Programming in an interactive 3d shape
grammar (Amy Tan and P S Coates) A report of a
generative system combining genetic programming(GP) and
3D shape grammars. The reasoning that backs up the
basis for this work depends on the interpretation of
design as search In this system, a 3D form is a
computer program made up of functions (transformations
and terminals (building blocks). Each program evaluates
into a structure. Hence, in this instance a program is
synonymous with form. Building blocks of form are
platonic solids (box, cylinder....etc.). A Variety of
combinations of the simple affine transformations of
translation, scaling, rotation together with Boolean
operations of union, subtraction and intersection
performed on the building blocks generate different
configurations of 3D forms. Using to the methodology of
genetic programming, an initial population of such
programs are randomly generated,subjected to a test for
fitness (the eyeball test). Individual programs that
have passed the test are selected to be parents for
reproducing the next generation of programs via the
process of recombination.
2) Using a GA to evolve rule sets to achieve a goal
configuration (T.Broughton and P.Coates). The aim of
these experiments was to build a framework in which a
structure's form could be defined by a set of
instructions encoded into its genetic make-up. This was
achieved by combining a generative rule system commonly
used to model biological growth with a genetic
algorithm simulating the evolutionary process of
selection to evolve an adaptive rule system capable of
replicating any preselected 3-D shape. The generative
modelling technique used is a string rewriting
Lindenmayer system the genes of the emergent structures
are the production rules of the L-system, and the
spatial representation of the structures uses the
geometry of iso-spatial dense-packed spheres.",
notes = "University of East London, GB",
}
Genetic Programming entries for T Broughton A Tan Paul S Coates