Inverse Scattering of Dielectric Cylindrical Targets Using Genetic Programming

被引：4

作者：

Wildman, Raymond A. ^{[2
]}

Weile, Daniel S. ^{[1
]}

机构：

[1] Univ Delaware, Dept Elect & Comp Engn, Newark, DE 19716 USA

[2] USA, Res Lab, Weap & Mat Res Directorate, Aberdeen, MD USA

来源：

ELECTROMAGNETICS | 2010年 / 30卷 / 1-2期

关键词：

genetic programming; genetic algorithms; inverse scattering; computational geometry; CONDUCTING CYLINDERS; ALGORITHM;

D O I：

10.1080/02726340903485513

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A genetic programming method for solving inverse scattering problems involving cylindrical targets composed of either homogeneous or inhomogeneous dielectrics is presented. Specifically, a tree-shaped chromosome is used to combine convex polygons using either Boolean operations (for homogeneous targets) or an overlapping scheme (for inhomogeneous targets). Convex polygons residing in the terminal nodes of the tree are represented as the convex hull of a variable length list of points. Genetic programming then optimizes the geometry and topology of the target along with all material values. Results show that the method is accurate for a broad class of scattering targets.

引用

页码：222 / 236

页数：15

共 19 条

[1]

[Anonymous], 1998, Genetic programming: an introduction: on the automatic evolution of computer programs and its applications

[2]

[Anonymous], 1999, Genetic programming III: darwinian invention and problem solving

[3]

Born M., 1980, Principles of Optics, V6th

[4] Numerical solution of the Helmholtz equation in 2D and 3D using a high-order Nystrom discretization [J].

Canino, LF ;

Ottusch, JJ ;

Stalzer, MA ;

Visher, JL ;

Wandzura, SM .

JOURNAL OF COMPUTATIONAL PHYSICS, 1998, 146 (02) :627-663

[5] A computational technique based on a real-coded genetic algorithm for microwave imaging purposes [J].

Caorsi, S ;

Massa, A ;

Pastorino, M .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (04) :1697-1708

[6] Low-frequency detection of two-dimensional buried objects using high-order extended Born approximations [J].

Cui, TJ ;

Qin, Y ;

Wang, GL ;

Chew, WC .

INVERSE PROBLEMS, 2004, 20 (06) :S41-S62

[7] An inexact-Newton method for short-range microwave imaging within the second-order born approximation [J].

Estatico, C ;

Pastorino, M ;

Randazzo, A .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (11) :2593-2605

[8]

Golberg D. E., 1989, GENETIC ALGORITHMS S, V1989, P36

[9]

Holland J.H., 1992, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence

[10]

Jin J-M, 2015, The finite element method in electromagnetics

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