Abstract
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 reas oning 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 fo rms. 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 simulaoing the evolutionary
process of selection to evolve nn adaptive rule system
capable of replicating any preselected 3-D shape. The
generative modelling technique used is a string
rewnting 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.
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