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Genetic Algorithms in Electromagnetics: Genetic Algorithms in Electromagnetics.rar

 

Genetic Algorithms in Electromagnetics:
Genetic Algorithms in Electromagnetics (Hardcover)by Randy L. Haupt (Author), Douglas H. Werner (Author)


Hardcover: 301 pages
Publisher: Wiley-IEEE Press (April 10, 2007)
Language: English
ISBN-10: 0471488895
ISBN-13: 978-0471488897
Product Dimensions: 9.3 x 6.1 x 0.8 inches

Review
"…a boon to senior and graduate engineering students who have to complete a design project." (CHOICE, September 2007)

"...a boon to senior and graduate engineering students who have to complete a design project." (CHOICE, September 2007)

Product Description
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


[ 本帖最后由 drjiachen 于 2008-12-15 11:13 编辑 ]
Contents
vii
Preface xi
Acknowledgments xiii
1. Introduction to Optimization in Electromagnetics 1
1.1 Optimizing a Function of One Variable / 2
1.1.1 Exhaustive Search / 5
1.1.2 Random Search / 5
1.1.3 Golden Search / 6
1.1.4 Newton’s Method / 7
1.1.5 Quadratic Interpolation / 9
1.2 Optimizing a Function of Multiple Variables / 10
1.2.1 Random Search / 11
1.2.2 Line Search / 13
1.2.3 Nelder–Mead Downhill Simplex Algorithm / 18
1.3 Comparing Local Numerical Optimization Algorithms / 21
1.4 Simulated Annealing / 24
1.5 Genetic Algorithm / 25
2. Anatomy of a Genetic Algorithm 29
2.1 Creating an Initial Population / 31
2.2 Evaluating Fitness / 32
2.3 Natural Selection / 34
2.4 Mate Selection / 35
viii CONTENTS
2.4.1 Roulette Wheel Selection / 35
2.4.2 Tournament Selection / 37
2.5 Generating Offspring / 37
2.6 Mutation / 42
2.7 Terminating the Run / 42
3. Step-by-Step Examples 45
3.1 Placing Nulls / 45
3.2 Thinned Arrays / 54
4. Optimizing Antenna Arrays 63
4.1 Optimizing Array Amplitude Tapers / 64
4.2 Optimizing Array Phase Tapers / 66
4.2.1 Optimum Quantized Low-Sidelobe Phase Tapers / 66
4.2.2 Phase-Only Array Synthesis Using Adaptive GAs / 69
4.3 Optimizing Arrays with Complex Weighting / 75
4.3.1 Shaped-Beam Synthesis / 75
4.3.2 Creating a Plane Wave in the Near Field / 78
4.4 Optimizing Array Element Spacing / 85
4.4.1 Thinned Arrays / 86
4.4.2 Interleaved Thinned Linear Arrays / 88
4.4.3 Array Element Perturbation / 92
4.4.4 Aperiodic Fractile Arrays / 98
4.4.5 Fractal–Random and Polyfractal Arrays / 101
4.4.6 Aperiodic Refl ectarrays / 105
4.5 Optimizing Conformal Arrays / 105
4.6 Optimizing Reconfi gurable Apertures / 112
4.6.1 Planar Reconfi gurable Cylindrical Wire Antenna
Design / 114
4.6.2 Planar Reconfi gurable Ribbon Antenna Design / 114
4.6.3 Design of Volumetric Reconfi gurable Antennas / 115
4.6.4 Simulation Results—Planar Reconfi gurable Cylindrical
Wire Antenna / 116
4.6.5 Simulation Results—Volumetric Reconfi gurable
Cylindrical Wire Antenna / 119
4.6.6 Simulation Results—Planar Reconfi gurable Ribbon
Antenna / 122
5. Smart Antennas Using a GA 133
5.1 Amplitude and Phase Adaptive Nulling / 136
5.2 Phase-Only Adaptive Nulling / 145
CONTENTS ix
5.3 Adaptive Refl ector / 148
5.4 Adaptive Crossed Dipoles / 160
6. Genetic Algorithm Optimization of Wire Antennas 169
6.1 Introduction / 169
6.2 GA Design of Electrically Loaded Wire Antennas / 169
6.3 GA Design of Three-Dimensional Crooked-Wire
Antennas / 179
6.4 GA Design of Planar Crooked-Wire and Meander-Line
Antennas / 184
6.5 GA Design of Yagi–Uda Antennas / 189
7. Optimization of Aperture Antennas 199
7.1 Refl ector Antennas / 199
7.2 Horn Antennas / 202
7.3 Microstrip Antennas / 205
8. Optimization of Scattering 217
8.1 Scattering from an Array of Strips / 218
8.2 Scattering from Frequency-Selective Surfaces / 223
8.2.1 Optimization of FSS Filters / 225
8.2.2 Optimization of Reconfi gurable FSSs / 233
8.2.3 Optimization of EBGs / 236
8.3 Scattering from Absorbers / 238
8.3.1 Conical or Wedge Absorber Optimization / 238
8.3.2 Multilayer Dielectric Broadband Absorber
Optimization / 241
8.3.3 Ultrathin Narrowband Absorber Optimization / 241
9. GA Extensions 251
9.1 Selecting Population Size and Mutation Rate / 251
9.2 Particle Swarm Optimization (PSO) / 255
9.3 Multiple-Objective Optimization / 257
9.3.1 Introduction / 257
9.3.2 Strength Pareto Evolutionary Algorithm—Strength
Value Calculation / 258
9.3.3 Strength Pareto Evolutionary Algorithm—Pareto Set
Clustering / 259
9.3.4 Strength Pareto Evolutionary Algorithm—
Implementation / 260
9.3.5 SPEA-Optimized Planar Arrays / 261
9.3.6 SPEA-Optimized Planar Polyfractal Arrays / 264
x CONTENTS
Appendix: MATLAB® Code 269
Bibliography 277
Index 299
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这么多东西,怎么不见文件啊
Genetic Algorithms in Electromagnetics

ص

谢谢拉:27bb :27bb
谢谢好资料:11bb :11bb
:15bb:15bb:15bb:15bb:15bb:15bb:15bb
:14bb:14bb:14bb:14bb:14bb:14bb:14bb
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这本书不错,下载了:lol :lol
嗯  是本好书哦    有时间再慢慢研究优化算法
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支持楼主 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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好资料 非常期待  我也一直在搞优化 希望带来新的灵感
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thank you for the job
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:48bb :48bb
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:29bb :29bb
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顶顶顶顶顶顶顶顶顶顶顶顶的淡淡的
遗传算法应该在电磁领域大力发展 谢谢楼主
:11bb :27bb感谢楼主的辛勤工作! :29bb :30bb

[ 本帖最后由 lymhit 于 2009-3-27 09:15 编辑 ]
谢谢楼主了。。:31bb :31bb
谢谢拉:27bb :27bb谢谢拉:27bb :27bb
:27bb ,:27bb :27bb xiexiela
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thanks very much1111111111
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先下载再说了









呵呵
谢谢好资料
:27bb:14bb
好书!谢谢,
好书,谢谢楼主!!!
:24bb
好东西
带回去研究研究
:23bb
:21bb:22bb:23bb
:21bb 5# drjiachen
:27bb:16bb:22bb:23bb:45bb
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下载学习下
谢谢分享:8de
好不好先下再下来看看再说
xiexie louzhu
谢谢楼主!!!
不胜感谢那:31bb
Genetic Algorithms in Electromagnetics
hehe 谢谢楼主
很热门的一个算法
這方面的研究不錯

謝謝
看看 {:6_939:}
再试试吧,上次下下来没打开……
好书啊 收场了
对最优化很感兴趣 thanks
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优化是设计的中心技术之一!
Thank you for your sharing
3克油。。。。。。。。。。
这本书没有见过~
Genetic Algorithms in Electromagnetics
Genetic Algorithms in Electromagnetics
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xiexie louzhu
多谢分享!和天线很相关,很好的资料!
谢谢楼主!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
好书! 感射楼主提供分享!!!!!
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我要看看啊
正好有用 下了 感谢LZ
Thanks a lot!
{:7_1234:}
好东东,谢谢
下来学习学习
好书! 感射楼主提供分享!!!!!
谢谢斑竹了
{:7_1234:}什么情况,一下来这么多
回复 drjiachen 的帖子

好东东。谢谢
感谢分享:46bb
good book{:7_1234:}
谢谢楼主的新书
多谢!
回顾以后看结果
thank you very much!
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谢谢了哈啊!!
遗传算法重要啊
又来了个看不见的,郁闷!
dingdingding
好书! 感射楼主提供分享
看目录介绍,这本书应该很值得一看的。里面有不少挺好的例子。
先谢过楼主了!
谢谢分享
Genetic Algorithms in Electromagnetics
谢谢分享!!!
Genetic Algorithms in Electromagnetics
学习一下 谢谢了
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学习了,谢谢楼主分享!
谢谢分享!
谢谢分享!
是叫电磁学的遗传算法吗??
多谢楼主的分享
谢谢拉 :54bb:19bb
多谢分享!谢谢
正需要这个
感谢楼主分享
Adaptive Crossed Dipoles
看看书怎样
感谢楼主分享
感谢楼主分享
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