Title :
Genetic algorithm-based geometry reconstruction of convex conducting cylinders
Author :
Wildman, Raymond A. ; Weile, Daniel S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE
Abstract :
In this paper a GA-based method for geometry reconstruction of 2D convex shapes was presented and tested successfully on several scattering targets. While the case of convex scattering targets seems limited, this work is the basis of a more general method that uses genetic programming techniques. Tree-structured chromosomes can be used to represent the geometric combination (union, subtraction, etc.) of convex polygons, which provides a very flexible representation of arbitrary 2D geometries. Moreover, the representation can be extended quite easily to an arbitrary number of dimensions
Keywords :
conducting bodies; electromagnetic wave scattering; genetic algorithms; 2D convex shapes; arbitrary 2D geometries; convex conducting cylinders; convex polygons; convex scattering targets; genetic algorithm-based geometry reconstruction; genetic programming techniques; geometric combination; tree-structured chromosomes; Antenna measurements; Biological cells; Electromagnetic scattering; Engine cylinders; Genetic mutations; Geometry; Image reconstruction; Inverse problems; Military computing; Reflector antennas;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1710991
