Haupt / Werner Genetic Algorithms in Electromagnetics

1. Auflage 2007
ISBN: 978-0-470-10627-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 320 Seiten, E-Book

Reihe: Wiley - IEEE

A thorough and insightful introduction to using geneticalgorithms to optimize electromagnetic systems
Genetic Algorithms in Electromagnetics focuses onoptimizing the objective function when a computer algorithm,analytical model, or experimental result describes the performanceof an electromagnetic system. It offers expert guidance tooptimizing electromagnetic systems using genetic algorithms (GA),which have proven to be tenacious in finding optimal results wheretraditional techniques fail.
Genetic Algorithms in Electromagnetics begins with anintroduction to optimization and several commonly used numericaloptimization routines, and goes on to feature:
* Introductions to GA in both binary and continuous variableforms, complete with examples of MATLAB(r) commands
* Two step-by-step examples of optimizing antenna arrays as wellas a comprehensive overview of applications of GA to antenna arraydesign problems
* Coverage of GA as an adaptive algorithm, including adaptive andsmart arrays as well as adaptive reflectors and crosseddipoles
* Explanations of the optimization of several different wireantennas, starting with the famous "crooked monopole"
* How to optimize horn, reflector, and microstrip patch antennas,which require significantly more computing power than wireantennas
* Coverage of GA optimization of scattering, including scatteringfrom frequency selective surfaces and electromagnetic band gapmaterials
* Ideas on operator and parameter selection for a GA
* Detailed explanations of particle swarm optimization andmultiple objective optimization
* An appendix of MATLAB code for experimentation

Autoren/Hrsg.

Haupt, Randy L.

Werner, Douglas H.

Inhaltsverzeichnis

Preface.
Acknowledgments.
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 AntennaDesign.
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 gurableCylindrical Wire Antenna.
4.6.5 Simulation Results--Volumetric Reconfi gurableCylindrical Wire Antenna.
4.6.6 Simulation Results--Planar Reconfi gurable RibbonAntenna.
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-LineAntennas.
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--StrengthValue Calculation.
9.3.3 Strength Pareto Evolutionary Algorithm--Pareto SetClustering.
9.3.4 Strength Pareto EvolutionaryAlgorithm--Implementation.
9.3.5 SPEA-Optimized Planar Arrays.
9.3.6 SPEA-Optimized Planar Polyfractal Arrays.
Appendix: MATLAB® Code.
Bibliography.
Index.

Über Autor(innen)

Randy L. Haupt, PhD, is a senior scientist in the AppliedResearch Laboratory at The Pennsylvania State University.
Douglas H. Werner, PhD, is a professor of electricalengineering, a senior scientist in the Applied Research Laboratory,and a faculty member of the Materials Research Institute at ThePennsylvania State University.