Genetic Algorithms in Electromagnetics by Randy L Haupt
A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systemsGenetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It offers expert guidance to optimizing electromagnetic systems using genetic algorithms (GA), which have proven to be tenacious in finding optimal results where traditional techniques fail.
Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical optimization routines, and goes on to feature:
- Introductions to GA in both binary and continuous variable forms, complete with examples of MATLAB(r) commands
- Two step-by-step examples of optimizing antenna arrays as well as a comprehensive overview of applications of GA to antenna array design problems
- Coverage of GA as an adaptive algorithm, including adaptive and smart arrays as well as adaptive reflectors and crossed dipoles
- Explanations of the optimization of several different wire antennas, starting with the famous "crooked monopole"
- How to optimize horn, reflector, and microstrip patch antennas, which require significantly more computing power than wire antennas
- Coverage of GA optimization of scattering, including scattering from frequency selective surfaces and electromagnetic band gap materials
- Ideas on operator and parameter selection for a GA
- Detailed explanations of particle swarm optimization and multiple objective optimization
- An appendix of MATLAB code for experimentation
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Voltage-Sourced Converters in Power Systems
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Applied Cryptanalysis
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Essential Math Skills for Engineers
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Advanced FPGA Design
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Math Refresher for Scientists and Engineers
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Wireless Communications
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Quantum Computing Explained
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Kalman Filtering
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Information Technologies in Medicine, 2 Volume Set
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Chaos Analysis and Chaotic EMI Suppression of DC-DC Converters
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Sensor Data Analysis and Management
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Corporate Cybersecurity
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Electronics in Advanced Research Industries
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Enabling 5G Communication Systems to Support Vertical Industries
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Theory and Computation of Electromagnetic Fields
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Design and Optimization for 5G Wireless Communications
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Parametric Time-Frequency Domain Spatial Audio
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Transient Analysis of Power Systems
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Communication and Control in Electric Power Systems
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Signal Processing for 5G
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Near-Capacity Multi-Functional MIMO Systems
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The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational Electromagnetics Problems
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Power Electronics-Enabled Autonomous Power Systems
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CubeSat Antenna Design
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Computational Methods for Electromagnetic Inverse Scattering
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Cable System Transients
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Fuzzy Systems Engineering
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Frequency-Domain Analysis and Design of Distributed Control Systems
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Mobile 3D Graphics SoC
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Circuit Simulation
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The Foundations of Signal Integrity
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Advanced Design Techniques and Realizations of Microwave and RF Filters
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Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design
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Nonlinear Distortion in Wireless Systems
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Kinematic Control of Redundant Robot Arms Using Neural Networks
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Advanced Control of Grid-Integrated Renewable Energy Power Plants
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Essentials of Computational Electromagnetics
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Differential Evolution
"…a boon to senior and graduate engineering students who have to complete a design project" (CHOICE, September 2007)
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.
| SKU | Unavailable |
| ISBN 13 | 9780471488897 |
| ISBN 10 | 0471488895 |
| Title | Genetic Algorithms in Electromagnetics |
| Author | Randy L Haupt |
| Series | Ieee Press |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley-IEEE Press |
| Year published | 2007-04-26 |
| Number of pages | 320 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |