Abstract
A genetic programming-based method for the imaging of
two-dimensional conductors is presented. Geometry is
encoded in this scheme using a tree-shaped chromosome
to represent the Boolean combination of convex polygons
into an arbitrary two-dimensional geometry. The
polygons themselves are encoded as the convex hull of
variable-length lists of points that reside in the
terminal nodes of the tree. A set of genetic operators
is defined for efficiently solving the inverse
scattering problem. Specifically, the encoding scheme
allows for a standard genetic programming crossover
operator, and several mutation operators are designed
in consideration of the encoding scheme. Several
results are presented that demonstrate the method on a
number of different shapes
- algorithms,
- bodies,
- boolean
- chromosome,
- combination,
- computational
- conducting
- conductors
- cylinder,
- electromagnetic
- electromagnetics,
- encoding,
- functions,
- genetic
- geometry
- geometry,
- inverse
- problem,
- programming,
- reconstruction,
- scattering
- scattering,
- tree-shaped
- two-dimensional
- wave
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