000 04186nam a22005415i 4500
001 978-3-642-25563-2
003 DE-He213
005 20140220083306.0
007 cr nn 008mamaa
008 120206s2012 gw | s |||| 0|eng d
020 _a9783642255632
_9978-3-642-25563-2
024 7 _a10.1007/978-3-642-25563-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aChauhan, Narendra.
_eauthor.
245 1 0 _aSoft Computing Methods for Microwave and Millimeter-Wave Design Problems
_h[electronic resource] /
_cby Narendra Chauhan, Machavaram Kartikeyan, Ankush Mittal.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXIV, 114p. 40 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v392
505 0 _aSoft Computing Methods -- Review of Soft Computing Methods for Microwave and Millimeter-Wave Design -- Design of Microwave Filters using Modified PSO -- Design of Microstrip Antennas and Other Components -- Design of a Nonlinear Taper for High-Power Gyrotrons -- Multi-objective Optimizations for the Design of RF Windows -- Concluding Remarks.
520 _aThe growing commercial market of Microwave/ Millimeter wave industry over the past decade has led to the explosion of interests and opportunities for the design and development of microwave components.The design of most microwave components requires the use of commercially available electromagnetic (EM) simulation tools for their analysis. In the design process, the simulations are carried out by varying the design parameters until the desired response is obtained. The optimization of design parameters by manual searching is a cumbersome and time consuming process. Soft computing methods such as Genetic Algorithm (GA), Artificial Neural Network (ANN) and Fuzzy Logic (FL) have been widely used by EM researchers for microwave design since last decade. The aim of these methods is to tolerate imprecision, uncertainty, and approximation to achieve robust and low cost solution in a small time frame.  Modeling and optimization are essential parts and powerful tools for the microwave/millimeter wave design. This book deals with the development and use of soft computing methods for tackling challenging design problems in the microwave/millimeter wave domain. The aim in the development of these methods is to obtain the design in small time frame while improving the accuracy of the design for a wide range of applications. To achieve this goal, a few diverse design problems of microwave field, representing varied challenges in the design, such as different microstrip antennas, microwave filters, a microstrip-via and also some critical high power components such as nonlinear tapers and RF-windows are considered as case-study design problems. Different design methodologies are developed for these applications. The presents soft computing methods, their review for microwave/millimeter wave design problems and specific case-study problems to infuse better insight and understanding of the subject.
650 0 _aEngineering.
650 0 _aComputer science.
650 0 _aEngineering mathematics.
650 0 _aMicrowaves.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aMicrowaves, RF and Optical Engineering.
650 2 4 _aNumerical and Computational Physics.
650 2 4 _aProgramming Techniques.
650 2 4 _aApplied and Technical Physics.
700 1 _aKartikeyan, Machavaram.
_eauthor.
700 1 _aMittal, Ankush.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642255625
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v392
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-25563-2
912 _aZDB-2-ENG
999 _c102445
_d102445