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- W2149371206 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" @default.
- W2149371206 created "2016-06-24" @default.
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- W2149371206 date "2007-03-01" @default.
- W2149371206 modified "2023-10-18" @default.
- W2149371206 title "Geometry Reconstruction of Conducting Cylinders Using Genetic Programming" @default.
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- W2149371206 doi "https://doi.org/10.1109/tap.2007.891565" @default.
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