Synthesis of Artificial Magnetic Conductors Using Structure-Based Evolutionary Design

Luisa Deias,Giorgio Montisci,Giuseppe Mazzarella,Giovanni Andrea Casula

doi:10.1155/2013/607430

Luisa Deias, Giorgio Montisci + Show 2 more

Open Access

https://doi.org/10.1155/2013/607430

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Abstract

An evolutionary programming approach, the so-called structure based evolutionary design, is applied to the synthesis of planar periodic electronic band gap in order to obtain an artificial magnetic conductor surface. We show that this strategy, in conjunction with a flexible aperture-oriented approach, allows for obtaining new and effective structures. This almost unique ability is exploited to obtain an artificial magnetic conductor periodic surface with a bandwidth larger than the most popular surfaces known so far.

Highlights

Frequency selective surfaces (FSS) consist of two-dimensional periodic arrays of metal patches patterned on a dielectric substrate or apertures etched on a metal screen [1,2,3]
Frequency selective surfaces have been thoroughly studied over the years [4, 5], and they have found new life in the past decade when electromagnetic band gap (EBG) [3, 6] structures were introduced
The chosen S-expression describes the geometry of the artificial magnetic conductor (AMC) cell as a set of rectangles, which is the input required by the MoM program

Summary

Introduction

Frequency selective surfaces (FSS) consist of two-dimensional periodic arrays of metal patches patterned on a dielectric substrate or apertures etched on a metal screen [1,2,3]. As a matter of fact, those approaches work on a (possibly large) number of numerical parameters but are unable to reach completely new structures This is, possible if a different point of view is taken, namely, SED (structure based evolutionary design). This approach, initially named genetic programming (GP), was first proposed by Koza [15] and is based on the idea that most real-world problems cannot be handled with parametric representations [16, 17]. Its main role is to drive the procedure toward the optimal solution As such, it must include the design specifications, but its formulation must be based on the structure behavior (in a broad sense). We let the SED strategy evaluate every possible geometry in the solution space constrained only by the previous requirements

A Brief SED Description

Implementation of AMC Design Using SED

Results

Conclusions