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Genetic Algorithm Optimization Applied To Planar And Wire Antennas
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Book Synopsis Genetic Algorithm Optimization Applied to Planar and Wire Antennas by : Andrea M. Wyant
Download or read book Genetic Algorithm Optimization Applied to Planar and Wire Antennas written by Andrea M. Wyant and published by . This book was released on 2007 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Antenna design has grown more stringent and difficult over the years as the world becomes strictly a wireless environment. The inherent tradeoffs that exist between gain, radiation pattern, bandwidth, and physical size and the multiple parameters that must be considered make antenna design a lengthy and tedious process. Methods have been devised which automate this complex process of antenna optimization through the use of genetic algorithms, particle swarm optimization, and simulated annealing. Genetic algorithms are capable of handling a large number of design parameters and work for optimization problems that have discontinuous or non-differentiable multi-dimensional solution spaces, making them ideal for antenna optimization. In the present work, a genetic algorithm has been used for size reduction in microstrip patch antennas and design tradeoff optimization between beamwidth and gain in helical antennas. A method for reducing the size of microstrip patch antennas by up to 75% by removing rectangular and circular slots from the metal of the microstrip patch is presented. A solid patch antenna that resonates at 10 GHz is forced to resonant at 6 GHz through the removal of the different shaped slots. Given the number and shape of the slots, the genetic algorithm is used to optimize the size and location of the slot on the patch. The designs are obtained by interfacing the genetic algorithm and Ansoft High Frequency System Simulator (HFSS) and validated through design, construction, and testing. High gain, with broad half-power beamwidths (HPBW) is traditionally extremely difficult to achieve due to the inherent tradeoff between the two. A genetic algorithm has been applied to design a helical antenna with a gain of 10 dB and HPBWs of 60 degrees. In order to achieve this, three physical parameters of the helix have been changed, namely the pitch, helix radius, and the ground plane geometry. The second objective is to create an antenna that displays different HPBWs in the two radiation planes. This could be extremely useful in many communication environments and there is yet no existing method to achieve this. The genetic algorithm produced a helical antenna that shows a 19 degrees difference in HPBW between the two radiation planes, while still displaying a 7 dB gain and low side lobes. Numerical Electromagnetic Code 4 (NEC4) is used, and a method of communication between MATLAB and NEC4 has been developed to make the genetic algorithm optimization possible"--Abstract.
Book Synopsis Genetic Algorithms in Electromagnetics by : Randy L. Haupt
Download or read book Genetic Algorithms in Electromagnetics written by Randy L. Haupt and published by John Wiley & Sons. This book was released on 2007-04-27 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic 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
Book Synopsis Electromagnetic Optimization by Genetic Algorithms by : Yahya Rahmat-Samii
Download or read book Electromagnetic Optimization by Genetic Algorithms written by Yahya Rahmat-Samii and published by Wiley-Interscience. This book was released on 1999-07-23 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary concept. These easily programmed and readily implemented procedures robustly locate extrema of highly multimodal functions and therefore are particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic Algorithms is the first book devoted exclusively to the application of genetic algorithms to electromagnetic device design. Compiled by two highly competent and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design and optimization of various low- and high-frequency electromagnetic components. Special features include: * Introduction by David E. Goldberg, "A Meditation on the Application of Genetic Algorithms" * Design of linear and planar arrays using genetic algorithms * Application of genetic algorithms to the design of broadband, wire, and integrated antennas * Genetic algorithm-driven design of dielectric gratings and frequency-selective surfaces * Synthesis of magnetostatic devices using genetic algorithms * Application of genetic algorithms to multiobjective electromagnetic backscattering optimization * A comprehensive list of the up-to-date references applicable to electromagnetic design problems Supplemented with more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs and an indispensable reference for university researchers.
Book Synopsis Automated Design and Optimization of Wire Antennas Using Genetic Algorithms by : Derek Scott Linden
Download or read book Automated Design and Optimization of Wire Antennas Using Genetic Algorithms written by Derek Scott Linden and published by . This book was released on 1997 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Genetic Algorithm (GA) has been used in conjunction with the Numerical Electromagnetics Code, Version 2 (NEC2) to create and optimize atypical wire antenna designs with impressive characteristics. Antenna design parameters are encoded into an ordered series of numbers and/or symbols analogous to a biological chromosome. A cost function that quantifies how well a design meets the engineer's specifications is created. The GA uses these to generate and evaluate a population of designs. The most successful designs are then promoted and mixed through mating and mutation, while poor designs are removed. This process, difficult to trap in local minima, continues until convergence criteria are met, generally yielding excellent designs with no user intervention or initial guesses. Three antennas have been optimized: a monopole loaded with a modified folded dipole, the Yagi antenna, and the crooked-wire genetic antenna. Prior study of the loaded monopole had shown hemispherical coverage was possible. The GA found an asymmetric loaded monopole with an average variation in gain over the hemisphere of only 0.4dB, confirmed by measurement. GA-optimized Yagi antennas surpassed the gain of conventional Yagis by about 1dB, improvement also confirmed by measurement. The GA designed a Yagi with a beamwidth of 50 deg -60 deg, sidelobes nearly 25dB down, and a 14% bandwidth-specifications difficult to achieve using conventional techniques. The crooked-wire genetic antenna is several wires joined in series; locations and lengths are determined by the GA. Optimization for hemispherical coverage with right-hand circular polarization (RHCP) produced highly unusual shapes unrealizable using a conventional approach. RHCP hemispherical coverage was achieved with less than 4dB variation. Measurements verify the results.
Book Synopsis Genetic, Algorithm Optimization and Realization of Broadband Wire Antennas by : Shawn David Rogers
Download or read book Genetic, Algorithm Optimization and Realization of Broadband Wire Antennas written by Shawn David Rogers and published by . This book was released on 2000 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Engineering Sciences New Trends, Concepts and Research by : Halil İbrahim Kurt
Download or read book Engineering Sciences New Trends, Concepts and Research written by Halil İbrahim Kurt and published by Livre de Lyon. This book was released on 2021-12-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Sciences New Trends, Concepts and Research
Book Synopsis Optimization of Wire Antennas Via Genetic Algorithms and Simplified Real Frequency Technique, and Penetration Through Apertures in Axi-symmetric Structures by : Korkut Yegin
Download or read book Optimization of Wire Antennas Via Genetic Algorithms and Simplified Real Frequency Technique, and Penetration Through Apertures in Axi-symmetric Structures written by Korkut Yegin and published by . This book was released on 1999 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applicability of a Genetic Algorithm when Optimizing a Planar Inverted F Antenna by : Jonas Gamalielsson
Download or read book Applicability of a Genetic Algorithm when Optimizing a Planar Inverted F Antenna written by Jonas Gamalielsson and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of Active Integrated Antennas and Optimization for Harmonic Suppression Antennas by : Dawei Zhou
Download or read book Development of Active Integrated Antennas and Optimization for Harmonic Suppression Antennas written by Dawei Zhou and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The objectives of this research work are to investigate, design and implement active integrated antennas comprising active devices connected directly to the patch radiators, for various applications in high efficiency RF front-ends, integrated oscillator antennas, design and optimization of harmonic suppression antennas using a genetic algorithm (GA). A computer-aided design approach to obtain a class F operation to optimizing the optimal fundamental load impedance and designing the input matching circuits for an active integrated antenna of the transmitting type is proposed and a case study of a design for 1.6 GHz is used to confirm the design principle. A study of active integrated oscillator antennas with a series feed back using a pseudomorphic high electronmobility transistor (PHEMT) confirms the design procedure in simulation and measurement for the oscillator circuit connected directly to the active antenna. Subsequently, another design of active oscillator antenna using bipolar junction transistor (BJT) improves the phase noise of the oscillation and in addition to achieve amplitude shift keying (ASK) and amplitude modulation (AM) modulation using the proposed design circuit. Moreover, the possibility of using a sensor patch technique to find the power accepted by the antenna at harmonic frequencies is studied. A novel numerical solution, for designing and optimizing active patch antennas for harmonic suppression using GA in collaboration with numerical electromagnetic computation (NEC), is presented. A new FORTRAN program is developed and used for adaptively meshing any planar antenna structure in terms of wire grid surface structures. The program is subsequently implemented in harmonic suppression antenna design and optimization using GA. The simulation and measurement results for several surface structures show a good agreement.
Book Synopsis A Platform for Antenna Optimization with Numerical Electromagnetics Code Incorporated with Genetic Algorithms by : Timothy L. Pitzer
Download or read book A Platform for Antenna Optimization with Numerical Electromagnetics Code Incorporated with Genetic Algorithms written by Timothy L. Pitzer and published by . This book was released on 2006 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Antenna Optimization: A Tale of Two Chromosomes by :
Download or read book Genetic Antenna Optimization: A Tale of Two Chromosomes written by and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we describe how to apply genetic algorithm (GA) optimization techniques to two diverse antenna optimization problems: electrically-small bent-wire antennas and a digital ionosonde transmit antenna. For each of these we present a description of the problem and one or more ways in which it can be modeled for genetic algorithm optimization. The goal of this paper is not to present optimal results for each of these antenna design areas, but rather to illustrate how antenna optimization problems can be translated into chromosome representations for genetic algorithm optimization. Lessons learned from using different chromosome representations are presented, along with simulated and measured results as available.
Book Synopsis Antenna Design Optimization by : T. L. Pitzer
Download or read book Antenna Design Optimization written by T. L. Pitzer and published by . This book was released on 2007-12-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Genetic Algorithm (GA) is used in concert with the Numerical Electromagnetics Code, Version 4 (NEC4) to create and optimize typical wire antenna designs including single elements and arrays, the result being antennas with impressive characteristics. Previous work in antenna optimization is discussed as it relates to this method. The method shown applies to antennas whose basis of designs are both the Yagi-Uda antenna and the Log Periodic Dipole Array (LPDA) antenna. Also covered are applications in Passive Remote Sensing (PRS) and Over the Horizon Radar (OTHR). With color illustrations. Chapter titles are ...(1) Introduction ...(2) Background in Antenna Design and Optimization with Genetic Algorithms ...(3) Methodology for Designing, Testing and Analyzing Antennas ...(4) Experimental Results and Analysis of Synthesized Antennas ...(5) Conclusions ...(6) Appendix A: How to Use GNEC inside of iSIGHT ...(7) Appendix B: GNEC Code.
Book Synopsis Low Cross-polarization, Dual-polarized Planar Antennas by : Bradley G. Porter
Download or read book Low Cross-polarization, Dual-polarized Planar Antennas written by Bradley G. Porter and published by . This book was released on 1999 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Antenna Optimization and Design Based on Binary Coding by : Junping Geng
Download or read book Antenna Optimization and Design Based on Binary Coding written by Junping Geng and published by Springer Nature. This book was released on 2022-01-11 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates in detail the antenna optimization method with binary coding and their applications to antenna design. It introduces the binary coding principle and optimization method, the method of binary coding corresponding to geometry structure. In further, the designs by binary coding optimization method of following items are introduced, including multi-frequency antenna based on binary coding, low profile RFID tag antenna on metal, wideband directional antenna with low profile, mmWave antenna and UWB antenna. Additionally, improved hexagon unit to antenna optimization by binary coding method is given, and a new method of antenna design based on optimization of linear motion trajectory is presented in the end.This book proposes an automatic optimization method of meshed antenna based on binary coding, reduce the artificial a priori influence and find the best antenna. The book is intended for undergraduate and graduate students who are interested in antenna technology, researchers investigating high performance antenna, and antenna design engineers working on new antenna and the applications.
Book Synopsis Antenna Performance Optimisation Using Evolutionary Algorithms by : D. W. Ansell
Download or read book Antenna Performance Optimisation Using Evolutionary Algorithms written by D. W. Ansell and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis investigates the novel idea of using evolutionary algorithms to optimisecontrol and design aspects of active array antenna systems. Active arrays differ frommost mechanically scanned antennas in that they offer the ability to control the shape oftheir radiation pattern. As active arrays consist of a multiplicity of transmit and receivemodules (TRMs), the task of optimally controlling them in order to generate a desiredradiation pattern becomes difficult. The control problem is especially true of conformal(non-planar) array antennas that require additional phase control to achieve goodradiation pattern performance. This thesis describes a number of significant advances in the optimisation of arrayantenna performance. Firstly a genetic algorithm (GA) is shown to be effective atoptimising both planar and conformal antenna performance. A number of examples areused to illustrate and promote the basic optimisation concept. Secondly, in this thesisthe techniques are advanced to apply multiobjective evolutionary optimisationalgorithms to array performance optimisation. It is shown that Evolutionary Algorithmsallow users to simultaneously optimise many aspects of array performance without theneed to fine-tune a large number of weights. The multiple-objective analysis methodsshown demonstrate the advantages to be gained by holding knowledge of the Paretooptimal solution set. Thirdly, this thesis examines the problems of optimising the design of large (manyelement) array antennas. Larger arrays are often divided into smaller sub-arrays formanufacturing reasons and to promote formation of difference beam patterns formonopulse operation. In the past, the partitioning has largely been left to trial-and-erroror simple randomisation techniques. This thesis describes a new and novel approach foroptimally subdividing both planar and conformal array antennas as well as improvinggain patterns in a single optimisation process. This approach contains a new method ofpartitioning array antennas, inspired from a biological process and is also presented andoptimised using evolutionary algorithms. Additionally, the technique can be applied toany size or shape of array antenna, with the processing load dependent on the number ofsubarrays, rather than the number of elements. Finally, the success of these new techniques is demonstrated by presenting a range ofperformance optimised examples of planar and conformal array antenna installationsincluding examples of optimally evolved subarray partitions.
Book Synopsis Multi-objective Optimization of Antennas for Ultra-wideband Applications by : Aaron Jon Kerkhoff
Download or read book Multi-objective Optimization of Antennas for Ultra-wideband Applications written by Aaron Jon Kerkhoff and published by . This book was released on 2008 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a growing number of ultra-wideband applications, which involve the radiation or reception of electromagnetic signals over frequency bandwidths ranging from 1.3:1 to over 10:1. In the design of antennas for ultra-wideband systems, many design objectives must be considered, including impedance matching, radiation efficiency, radiation pattern stability, size, and possibly impulse response. Given the very wide bandwidths considered, it can be challenging to meet all objectives simultaneously, and optimization techniques are useful to achieve a reasonable compromise between objectives. In this dissertation, multi-objective Genetic Algorithm (GA) optimization is used to design ultra-wideband antennas for use in wireless communications and low frequency radio astronomy. GA optimization is first applied to the design of ultra-wide bandwidth planar monopole antennas, which exhibit a narrow-band frequency notch in order to mitigate interference with co-located radio systems. The GA optimizer uses a weighted sum cost function related to impedance matching and radiation patterns at frequencies within both the wide operating band and the narrow notch band to improve antenna performance. A two-dimensional matrix chromosome is used in the GA to represent a wide-range on planar element shapes. It is shown that the GA generates antenna designs which exhibit wideband performance equal to traditional band-notched designs, but have improved azimuth plane radiation pattern symmetry, which widens the effective notch bandwidth. Pareto GA optimization is then applied to the design of planar dipole antenna elements operating over a ground plane for use in a low frequency radio telescope array. The objectives considered include Galactic background or "sky noise reception level, and radiation patterns over the operating band of 20 to 80 MHz. It is demonstrated that the Pareto GA approach generates a set of designs, which exhibit a wide range of trade-offs between the two design objectives, and satisfy all applied geometrical constraints. Multiple GA executions are performed to determine how antenna performance trade-offs are affected by different geometrical constraint values, feed impedance values, radiating element shapes and orientations, and ground conditions. In a follow-up to the previous study, the effects of mutual coupling in a low frequency radio telescope array are considered. It is first shown that a simple receive-based definition of coupling between two antennas can be used to design antenna elements which exhibit reduced mutual coupling effects when operated in a large phased array. This result is utilized in order to perform Pareto GA optimization of wire frame bow-tie dipole elements in terms of mutual coupling, as well as sky noise response and radiation patterns over the 20 to 80 MHz band. The GA generates a set of designs that span a wide range of objective values. The results are analyzed to understand the trade-offs that may be made between the three objectives.
Book Synopsis Military Antenna Design Using Simple and Competent Genetic Algorithms by : Edward E. Altshuler
Download or read book Military Antenna Design Using Simple and Competent Genetic Algorithms written by Edward E. Altshuler and published by . This book was released on 2004-06-01 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, the Air Force Research Laboratory (AFRL) antenna Technology Branch at Hanscom AFB has employed the simple genetic algorithm (SGA) as an optimization tool for a wide variety of antenna applications. Over roughly the same period, researchers at the Illinois Genetic Algorithm Laboratory (IlliGAL) at the University of Illinois at Urbana-Champaign have developed GA design theory and advanced GA techniques called competent genetic algorithms that solve hard problems quickly, reliably, and accurately. Recently, under the guidance and direction of the Air Force Office of Scientific Research (AFOSR), the two laboratories have formed a collaboration, the common goal of which is to apply simple, competent, and hybrid GA techniques to challenging antenna problems. This paper is composed of two parts. The first part of this paper summarizes previous research conducted by AFRL at Hanscom for which SGAs were implemented to obtain acceptable solutions to several antenna problems. The second part of this paper starts by briefly reviewing the design theory and design principles necessary for the invention and implementation of fast, scalable genetic algorithms. A particular procedure, the hierarchical Bayesian optimization algorithm (hBOA) is then briefly outlined, and the remainder of the paper describes collaborative efforts of AFRL and IlliGAL to solve more difficult antenna problems.
