Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
The Significance Of Genetic Representation In Genetic Antenna Design
Download The Significance Of Genetic Representation In Genetic Antenna Design full books in PDF, epub, and Kindle. Read online The Significance Of Genetic Representation In Genetic Antenna Design ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Significance of Genetic Representation in Genetic Antenna Design by :
Download or read book The Significance of Genetic Representation in Genetic Antenna Design written by and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been shown to be effective in the design of small antennas. However, their effectiveness depends on both the mechanisms of the genetic algorithm and the genetic representation of the problem. Here we present three genetic chromosome representations for a small antenna design problem (lowest VSWR for a specified h/lambda cube size) and compare the results of the three optimization processes. Our work shows that different chromosome representations lead to solutions in different, overlapping subclasses, and that an important consideration in genetic antenna design is finding a simple chromosome representation which is capable of representing the subclass containing the "optimal" solution. Our initial results show that the chromosome design itself is an important factor in successful genetic antenna design.
Book Synopsis Genetic Programming Theory and Practice II by : Una-May O'Reilly
Download or read book Genetic Programming Theory and Practice II written by Una-May O'Reilly and published by Springer Science & Business Media. This book was released on 2006-03-16 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.
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 Military Antenna Design Using Simple and Competent Genetic Algorithms by :
Download or read book Military Antenna Design Using Simple and Competent Genetic Algorithms written by and published by . This book was released on 2005 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Antenna design optimitzation using a real-coded genetic algorithm[ by : Raquel Rodríguez Suquet
Download or read book Antenna design optimitzation using a real-coded genetic algorithm[ written by Raquel Rodríguez Suquet and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 Use of Genetic Algorithms in Microstrip Antenna Design Using the Cavity Model by : Jayanthi Srinivasan
Download or read book Use of Genetic Algorithms in Microstrip Antenna Design Using the Cavity Model written by Jayanthi Srinivasan and published by . This book was released on 1999 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Algorithms in Antenna Design with Applications to NVIS Systems by : Wen-Chung Liu
Download or read book Genetic Algorithms in Antenna Design with Applications to NVIS Systems written by Wen-Chung Liu and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The use of the genetic algorithm approach in the design of ultra-wideband antennas by : Aaron Jon Kerkhoff
Download or read book The use of the genetic algorithm approach in the design of ultra-wideband antennas written by Aaron Jon Kerkhoff and published by . This book was released on 2001 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Microstrip Antenna Design Using Genetic Algorithm by : Laurent Foissey
Download or read book Microstrip Antenna Design Using Genetic Algorithm written by Laurent Foissey and published by . This book was released on 2001 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information Gathering and Use in Constrained Genetic Algorithm for Antenna Design by : Pichitpong Soontornpipit
Download or read book Information Gathering and Use in Constrained Genetic Algorithm for Antenna Design written by Pichitpong Soontornpipit and published by . This book was released on 2005 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Customization of the Design of Antenna Using Genetic Algorithm and Finite-difference Time-domain Technique by : Juan Antonio Gonzalez Lopez de Gamarra
Download or read book Customization of the Design of Antenna Using Genetic Algorithm and Finite-difference Time-domain Technique written by Juan Antonio Gonzalez Lopez de Gamarra and published by . This book was released on 2008 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book 54. Auktion written by and published by . This book was released on 2009 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Programming Theory and Practice III by : Tina Yu
Download or read book Genetic Programming Theory and Practice III written by Tina Yu and published by Springer Science & Business Media. This book was released on 2006-06-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
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.
