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Antenna Design by Simulation-Driven Optimization / by Slawomir Koziel, Stanislav Ogurtsov
(SpringerBriefs in Optimization. ISSN:2191575X)

1st ed. 2014.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2014
本文言語 英語
大きさ IX, 141 p. 94 illus., 45 illus. in color : online resource
著者標目 *Koziel, Slawomir author
Ogurtsov, Stanislav author
SpringerLink (Online service)
件 名 LCSH:Mathematical optimization
LCSH:Telecommunication
LCSH:Computer simulation
FREE:Optimization
FREE:Microwaves, RF Engineering and Optical Communications
FREE:Computer Modelling
一般注記 1. Introduction -- 2. Antenna Design Using Electromagnetic Simulations -- 3. Surrogate-Based Optimization -- 4. Methodologies for Variable-Fidelity Optimization of Antenna Structures -- 5. Low-Fidelity Antenna Models -- 6. Simulation-Based UWB Antenna Design -- 7. Optimization of Dielectric Resonator Antennas -- 8. Surrogate-Based Optimization of Microstrip Broadband Antennas -- 9. Simulation-Driven Antenna Array Optimization -- 10. Antenna Optimization with Surrogates and Adjoint Sensitivities.- 11. Simulation-Based Multi-Objective Antenna Optimization with Surrogate Models -- 12. Practical Aspects of Surrogate-Based Antenna Design: Selecting Model Fidelity -- 13. Discussion and Recommendations
This Brief reviews a number of techniques exploiting the surrogate-based optimization concept and variable-fidelity EM simulations for efficient optimization of antenna structures. The introduction of each method is illustrated with examples of antenna design. The authors demonstrate the ways in which practitioners can obtain an optimized antenna design at the computational cost corresponding to a few high-fidelity EM simulations of the antenna structure. There is also a discussion of the selection of antenna model fidelity and its influence on performance of the surrogate-based design process. This volume is suitable for electrical engineers in academia as well as industry, antenna designers and engineers dealing with computationally-expensive design problems
HTTP:URL=https://doi.org/10.1007/978-3-319-04367-8
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Springer eBooks 9783319043678
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分 類 LCC:QA402.5-402.6
DC23:519.6
書誌ID 4000115008
ISBN 9783319043678

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