The book addresses surrogate-assisted design of antenna arrays, in particular, how surrogate models, both data-driven and physics-based, can be utilized to expedite procedures such as parametric optimization, design closure, statistical analysis, or fault detection. Algorithms and design frameworks are illustrated using a large variety of examples including real-world printed-circuit antenna and antenna array structures. This unique compendium contains introductory materials concerning numerical optimization, both conventional (gradient-based and derivative-free, including metaheuristics) and surrogate-based, as well as a considerable selection of customized procedures developed specifically to handle antenna array problems. Recommendations concerning practical aspects of surrogate-assisted multi-objective antenna optimization are also given. The methods presented allow for cost-efficient handling of antenna array design problems (involving CPU-intensive EM models) in the context of design optimization and statistical analysis, which will benefit both researchers, designers and graduate students.
| Autorius: | Slawomir Koziel & Stanislav Ogurtsov |
| Leidėjas: | WSPC (Europe) |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 494 |
| ISBN-10: | 1786345986 |
| ISBN-13: | 9781786345981 |
| Formatas: | 235 x 157 x 31 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
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