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Genetic Algorithms in Electromagnetics / Edition 1

Genetic Algorithms in Electromagnetics / Edition 1


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Product Details

ISBN-13: 9780471488897
Publisher: Wiley
Publication date: 04/20/2007
Series: Wiley - IEEE Series
Pages: 320
Product dimensions: 6.40(w) x 9.50(h) x 0.86(d)

About the Author

Randy L. Haupt, PhD, is a senior scientist in the Applied Research Laboratory at The Pennsylvania State University.

Douglas H. Werner, PhD, is a professor of electrical engineering, a senior scientist in the Applied Research Laboratory, and a faculty member of the Materials Research Institute at The Pennsylvania State University.

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Table of Contents



1. Introduction to Optimization in Electromagnetics.

1.1 Optimizing a Function of One Variable.

1.1.1 Exhaustive Search.

1.1.2 Random Search.

1.1.3 Golden Search.

1.1.4 Newton’s Method.

1.1.5 Quadratic Interpolation.

1.2 Optimizing a Function of Multiple Variables.

1.2.1 Random Search.

1.2.2 Line Search.

1.2.3 Nelder–Mead Downhill Simplex Algorithm.

1.3 Comparing Local Numerical Optimization Algorithms.

1.4 Simulated Annealing.

1.5 Genetic Algorithm.

2. Anatomy of a Genetic Algorithm.

2.1 Creating an Initial Population.

2.2 Evaluating Fitness.

2.3 Natural Selection.

2.4 Mate Selection.

2.4.1 Roulette Wheel Selection.

2.4.2 Tournament Selection.

2.5 Generating Offspring.

2.6 Mutation.

2.7 Terminating the Run.

3. Step-by-Step Examples.

3.1 Placing Nulls.

3.2 Thinned Arrays.

4. Optimizing Antenna Arrays.

4.1 Optimizing Array Amplitude Tapers.

4.2 Optimizing Array Phase Tapers.

4.2.1 Optimum Quantized Low-Sidelobe Phase Tapers.

4.2.2 Phase-Only Array Synthesis Using Adaptive GAs.

4.3 Optimizing Arrays with Complex Weighting.

4.3.1 Shaped-Beam Synthesis.

4.3.2 Creating a Plane Wave in the Near Field.

4.4 Optimizing Array Element Spacing.

4.4.1 Thinned Arrays.

4.4.2 Interleaved Thinned Linear Arrays.

4.4.3 Array Element Perturbation.

4.4.4 Aperiodic Fractile Arrays.

4.4.5 Fractal–Random and Polyfractal Arrays.

4.4.6 Aperiodic Refl ectarrays.

4.5 Optimizing Conformal Arrays.

4.6 Optimizing Reconfi gurable Apertures.

4.6.1 Planar Reconfi gurable Cylindrical Wire Antenna Design.

4.6.2 Planar Reconfi gurable Ribbon Antenna Design.

4.6.3 Design of Volumetric Reconfi gurable Antennas.

4.6.4 Simulation Results—Planar Reconfi gurable Cylindrical Wire Antenna.

4.6.5 Simulation Results—Volumetric Reconfi gurable Cylindrical Wire Antenna.

4.6.6 Simulation Results—Planar Reconfi gurable Ribbon Antenna.

5. Smart Antennas Using a GA.

5.1 Amplitude and Phase Adaptive Nulling.

5.2 Phase-Only Adaptive Nulling.

5.3 Adaptive Reflector.

5.4 Adaptive Crossed Dipoles.

6. Genetic Algorithm Optimization of Wire Antennas.

6.1 Introduction.

6.2 GA Design of Electrically Loaded Wire Antennas.

6.3 GA Design of Three-Dimensional Crooked-Wire Antennas.

6.4 GA Design of Planar Crooked-Wire and Meander-Line Antennas.

6.5 GA Design of Yagi–Uda Antennas.

7. Optimization of Aperture Antennas.

7.1 Refl ector Antennas.

7.2 Horn Antennas.

7.3 Microstrip Antennas.

8. Optimization of Scattering.

8.1 Scattering from an Array of Strips.

8.2 Scattering from Frequency-Selective Surfaces.

8.2.1 Optimization of FSS Filters.

8.2.2 Optimization of Reconfi gurable FSSs.

8.2.3 Optimization of EBGs.

8.3 Scattering from Absorbers.

8.3.1 Conical or Wedge Absorber Optimization.

8.3.2 Multilayer Dielectric Broadband Absorber Optimization.

8.3.3 Ultrathin Narrowband Absorber Optimization.

9. GA Extensions.

9.1 Selecting Population Size and Mutation Rate.

9.2 Particle Swarm Optimization (PSO).

9.3 Multiple-Objective Optimization.

9.3.1 Introduction.

9.3.2 Strength Pareto Evolutionary Algorithm—Strength Value Calculation.

9.3.3 Strength Pareto Evolutionary Algorithm—Pareto Set Clustering.

9.3.4 Strength Pareto Evolutionary Algorithm—Implementation.

9.3.5 SPEA-Optimized Planar Arrays.

9.3.6 SPEA-Optimized Planar Polyfractal Arrays.

Appendix: MATLAB® Code.



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