{"product_id":"genetic-algorithms-in-electromagnetics-wiley-ieee-9780471488897","title":"Genetic Algorithms in Electromagnetics Wiley  IEEE","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eGenetic algorithms have become very important in many fields. Genetic Algorithms in Electromagnetics provides a tutorial of the application of genetic algorithms to problems in electromagnetics. It will provide up-to-date developments in genetic algorithms and a review of the many applications to electromagnetics problems.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…a boon to senior and graduate engineering students who have to complete a design project.\" (\u003ci\u003eCHOICE\u003c\/i\u003e, September 2007)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface.\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eAcknowledgments.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Introduction to Optimization in Electromagnetics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Optimizing a Function of One Variable.\u003c\/p\u003e \u003cp\u003e1.1.1 Exhaustive Search.\u003c\/p\u003e \u003cp\u003e1.1.2 Random Search.\u003c\/p\u003e \u003cp\u003e1.1.3 Golden Search.\u003c\/p\u003e \u003cp\u003e1.1.4 Newton’s Method.\u003c\/p\u003e \u003cp\u003e1.1.5 Quadratic Interpolation.\u003c\/p\u003e \u003cp\u003e1.2 Optimizing a Function of Multiple Variables.\u003c\/p\u003e \u003cp\u003e1.2.1 Random Search.\u003c\/p\u003e \u003cp\u003e1.2.2 Line Search.\u003c\/p\u003e \u003cp\u003e1.2.3 Nelder–Mead Downhill Simplex Algorithm.\u003c\/p\u003e \u003cp\u003e1.3 Comparing Local Numerical Optimization Algorithms.\u003c\/p\u003e \u003cp\u003e1.4 Simulated Annealing.\u003c\/p\u003e \u003cp\u003e1.5 Genetic Algorithm.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Anatomy of a Genetic Algorithm.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Creating an Initial Population.\u003c\/p\u003e \u003cp\u003e2.2 Evaluating Fitness.\u003c\/p\u003e \u003cp\u003e2.3 Natural Selection.\u003c\/p\u003e \u003cp\u003e2.4 Mate Selection.\u003c\/p\u003e \u003cp\u003e2.4.1 Roulette Wheel Selection.\u003c\/p\u003e \u003cp\u003e2.4.2 Tournament Selection.\u003c\/p\u003e \u003cp\u003e2.5 Generating Offspring.\u003c\/p\u003e \u003cp\u003e2.6 Mutation.\u003c\/p\u003e \u003cp\u003e2.7 Terminating the Run.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Step-by-Step Examples.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Placing Nulls.\u003c\/p\u003e \u003cp\u003e3.2 Thinned Arrays.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Optimizing Antenna Arrays.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Optimizing Array Amplitude Tapers.\u003c\/p\u003e \u003cp\u003e4.2 Optimizing Array Phase Tapers.\u003c\/p\u003e \u003cp\u003e4.2.1 Optimum Quantized Low-Sidelobe Phase Tapers.\u003c\/p\u003e \u003cp\u003e4.2.2 Phase-Only Array Synthesis Using Adaptive GAs.\u003c\/p\u003e \u003cp\u003e4.3 Optimizing Arrays with Complex Weighting.\u003c\/p\u003e \u003cp\u003e4.3.1 Shaped-Beam Synthesis.\u003c\/p\u003e \u003cp\u003e4.3.2 Creating a Plane Wave in the Near Field.\u003c\/p\u003e \u003cp\u003e4.4 Optimizing Array Element Spacing.\u003c\/p\u003e \u003cp\u003e4.4.1 Thinned Arrays.\u003c\/p\u003e \u003cp\u003e4.4.2 Interleaved Thinned Linear Arrays.\u003c\/p\u003e \u003cp\u003e4.4.3 Array Element Perturbation.\u003c\/p\u003e \u003cp\u003e4.4.4 Aperiodic Fractile Arrays.\u003c\/p\u003e \u003cp\u003e4.4.5 Fractal–Random and Polyfractal Arrays.\u003c\/p\u003e \u003cp\u003e4.4.6 Aperiodic Refl ectarrays.\u003c\/p\u003e \u003cp\u003e4.5 Optimizing Conformal Arrays.\u003c\/p\u003e \u003cp\u003e4.6 Optimizing Reconfi gurable Apertures.\u003c\/p\u003e \u003cp\u003e4.6.1 Planar Reconfi gurable Cylindrical Wire Antenna Design.\u003c\/p\u003e \u003cp\u003e4.6.2 Planar Reconfi gurable Ribbon Antenna Design.\u003c\/p\u003e \u003cp\u003e4.6.3 Design of Volumetric Reconfi gurable Antennas.\u003c\/p\u003e \u003cp\u003e4.6.4 Simulation Results—Planar Reconfi gurable Cylindrical Wire Antenna.\u003c\/p\u003e \u003cp\u003e4.6.5 Simulation Results—Volumetric Reconfi gurable Cylindrical Wire Antenna.\u003c\/p\u003e \u003cp\u003e4.6.6 Simulation Results—Planar Reconfi gurable Ribbon Antenna.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Smart Antennas Using a GA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Amplitude and Phase Adaptive Nulling.\u003c\/p\u003e \u003cp\u003e5.2 Phase-Only Adaptive Nulling.\u003c\/p\u003e \u003cp\u003e5.3 Adaptive Reflector.\u003c\/p\u003e \u003cp\u003e5.4 Adaptive Crossed Dipoles.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Genetic Algorithm Optimization of Wire Antennas.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 GA Design of Electrically Loaded Wire Antennas.\u003c\/p\u003e \u003cp\u003e6.3 GA Design of Three-Dimensional Crooked-Wire Antennas.\u003c\/p\u003e \u003cp\u003e6.4 GA Design of Planar Crooked-Wire and Meander-Line Antennas.\u003c\/p\u003e \u003cp\u003e6.5 GA Design of Yagi–Uda Antennas.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Optimization of Aperture Antennas.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Refl ector Antennas.\u003c\/p\u003e \u003cp\u003e7.2 Horn Antennas.\u003c\/p\u003e \u003cp\u003e7.3 Microstrip Antennas.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Optimization of Scattering.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Scattering from an Array of Strips.\u003c\/p\u003e \u003cp\u003e8.2 Scattering from Frequency-Selective Surfaces.\u003c\/p\u003e \u003cp\u003e8.2.1 Optimization of FSS Filters.\u003c\/p\u003e \u003cp\u003e8.2.2 Optimization of Reconfi gurable FSSs.\u003c\/p\u003e \u003cp\u003e8.2.3 Optimization of EBGs.\u003c\/p\u003e \u003cp\u003e8.3 Scattering from Absorbers.\u003c\/p\u003e \u003cp\u003e8.3.1 Conical or Wedge Absorber Optimization.\u003c\/p\u003e \u003cp\u003e8.3.2 Multilayer Dielectric Broadband Absorber Optimization.\u003c\/p\u003e \u003cp\u003e8.3.3 Ultrathin Narrowband Absorber Optimization.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. GA Extensions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Selecting Population Size and Mutation Rate.\u003c\/p\u003e \u003cp\u003e9.2 Particle Swarm Optimization (PSO).\u003c\/p\u003e \u003cp\u003e9.3 Multiple-Objective Optimization.\u003c\/p\u003e \u003cp\u003e9.3.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.3.2 Strength Pareto Evolutionary Algorithm—Strength Value Calculation.\u003c\/p\u003e \u003cp\u003e9.3.3 Strength Pareto Evolutionary Algorithm—Pareto Set Clustering.\u003c\/p\u003e \u003cp\u003e9.3.4 Strength Pareto Evolutionary Algorithm—Implementation.\u003c\/p\u003e \u003cp\u003e9.3.5 SPEA-Optimized Planar Arrays.\u003c\/p\u003e \u003cp\u003e9.3.6 SPEA-Optimized Planar Polyfractal Arrays.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix: MATLAB® Code.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBibliography.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":53515428626775,"sku":"9780471488897","price":116.96,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/genetic-algorithms-in-electromagnetics-wiley-ieee-9780471488897","provider":"Book Curl","version":"1.0","type":"link"}