Author:
BARON PETER,FISHER ROBERT,TUSON ANDREW,MILL FRANK,SHERLOCK ANDREW
Abstract
A voxel-based shape representation when integrated
with an evolutionary algorithm offers a number of potential
advantages for shape optimization. Topology need not be
predefined, geometric constraints are easily imposed and,
with adequate resolution, any shape can be approximated
to arbitrary accuracy. However, lack of boundary smoothness,
length of chromosome, and inclusion of small holes in the
final shape have been stated as problems with this representation.
This paper describes two experiments performed in an attempt
to address some of these problems. First, a design problem
with only a small computational cost of evaluating candidate
shapes was used as a testbed for designing genetic operators
for this shape representation. Second, these operators
were refined for a design problem using a more costly finite
element evaluation. It was concluded that the voxel representation
can, with careful design of genetic operators, be useful
in shape optimization.
Publisher
Cambridge University Press (CUP)
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Cited by
10 articles.
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