Cubic-Spline Expansion with GA for Half-Space Inverse Problems

Authors

  • Wei Chien Electrical Engineering Department, Tamkang University Tamsui, Taiwan, R.O.C.
  • Chien-Ching Chiu Electrical Engineering Department, Tamkang University Tamsui, Taiwan, R.O.C.

Keywords:

Cubic-Spline Expansion with GA for Half-Space Inverse Problems

Abstract

In this paper we address an inverse scattering problem whose aim is to determine the geometrical as well as the physical properties of a perfectly conducting cylindrical body buried in a halfspace. We use cubic-spline method instead of trigonometric series to describe our shape and reformulated into an optimization problem and solved by the genetic algorithm. The genetic algorithm is employed to find out the global extreme solution of the object function. As a result, the shape of the scatterer, which is described by using cubic-spline, can be reconstructed. In such a case, fourier series expansion will fail. Even when the initial guess is far away from the exact one, the cubic-spline description and genetic algorithm can avoid the local extreme and converge to a global extreme solution. Numerical results are given to show that the shape description using cubic-spline method is much better than the Fourier series.

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Published

2022-06-18

How to Cite

[1]
W. . Chien and C.-C. . Chiu, “Cubic-Spline Expansion with GA for Half-Space Inverse Problems”, ACES Journal, vol. 20, no. 2, pp. 136–143, Jun. 2022.

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