Author: | Slawomir Koziel, Stanislav Ogurtsov | ISBN: | 9781786346001 |
Publisher: | World Scientific Publishing Company | Publication: | February 13, 2019 |
Imprint: | WSPC (EUROPE) | Language: | English |
Author: | Slawomir Koziel, Stanislav Ogurtsov |
ISBN: | 9781786346001 |
Publisher: | World Scientific Publishing Company |
Publication: | February 13, 2019 |
Imprint: | WSPC (EUROPE) |
Language: | English |
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.
Contents:
Readership: Primary readership: antenna engineering and microwave engineering (graduate students, researchers, and designers); Secondary readership: electrical engineering, mechanical engineering (graduate students, researchers, designers).
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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.
Contents:
Readership: Primary readership: antenna engineering and microwave engineering (graduate students, researchers, and designers); Secondary readership: electrical engineering, mechanical engineering (graduate students, researchers, designers).
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