000 | 03232nam a22004815i 4500 | ||
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001 | u374366 | ||
003 | SIRSI | ||
005 | 20160812084231.0 | ||
007 | cr nn 008mamaa | ||
008 | 100528s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642128691 _9978-3-642-12869-1 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aQ342 | |
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aQing, Anyong. _eeditor. |
|
245 | 1 | 0 |
_aDifferential Evolution in Electromagnetics _h[recurso electrónico] / _cedited by Anyong Qing, Ching Kwang Lee. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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300 |
_a195p. 62 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aEvolutionary Learning and Optimization, _x1867-4534 ; _v4 |
|
505 | 0 | _aA Literature Survey on Differential Evolution -- Basics of Differential Evolution -- A Retrospective of Differential Evolution in Electromagnetics -- Application of Differential Evolution to a Two-Dimensional Inverse Scattering Problem -- The Use of Differential Evolution for the Solution of Electromagnetic Inverse Scattering Problems -- Modeling of Electrically Large Equipment with Distributed Dipoles Using Metaheuristic Methods -- Application of Differential Evolution to a Multi-Objective Real-World Frequency Assignment Problem -- RNN Based MIMO Channel Prediction. | |
520 | _aDifferential evolution has proven itself a very simple while very powerful stochastic global optimizer. It has been applied to solve problems in many scientific and engineering fields. This book focuses on applications of differential evolution in electromagnetics to showcase its achievement and capability in solving synthesis and design problems in electromagnetics.Topics covered in this book include:• A comprehensive up-to-date literature survey on differential evolution• A systematic description of differential evolution• A topical review on applications of differential evolution in electromagnetics• Five new application examplesThis book is ideal for electromagnetic researchers and people in differential evolution community. It is also a valuable reference book for researchers and students in the optimization or electrical and electronic engineering field. In addition, managers and engineers in relevant fields will find it a helpful introductory guide. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMicrowaves. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aMicrowaves, RF and Optical Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aOptics and Electrodynamics. |
700 | 1 |
_aLee, Ching Kwang. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642128684 |
830 | 0 |
_aEvolutionary Learning and Optimization, _x1867-4534 ; _v4 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-12869-1 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c202246 _d202246 |