SlawomirKoziel,StanislavOgurtsov
Simulation-based Optimization Of Antenna Arrays
Simulation-based Optimization Of Antenna Arrays
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The book discusses the use of surrogate models to accelerate antenna array design processes, including parametric optimization, design closure, statistical analysis, and fault detection. It provides algorithms and design frameworks with examples from real-world antenna structures. It also includes introductory materials on numerical optimization and practical recommendations for surrogate-assisted multi-objective antenna optimization.
\n Format: Hardback
\n Length: 496 pages
\n Publication date: 28 February 2019
\n Publisher: World Scientific Europe Ltd
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The book delves into the realm of surrogate-assisted design of antenna arrays, specifically exploring the utilization of surrogate models, both data-driven and physics-based, to expedite various procedures such as parametric optimization, design closure, statistical analysis, and fault detection. Through a diverse range of examples encompassing real-world printed-circuit antenna and antenna array structures, algorithms and design frameworks are showcased, providing a comprehensive understanding of the subject matter. This unique compendium not only offers introductory materials on numerical optimization, encompassing conventional approaches like gradient-based and derivative-free methods, but also delves into surrogate-based techniques, including metaheuristics. Additionally, it presents a substantial collection of customized procedures specifically tailored to address antenna array problems. Furthermore, practical recommendations regarding surrogate-assisted multi-objective antenna optimization are provided, offering valuable insights for researchers, designers, and graduate students alike. By employing the methods presented, the book enables cost-efficient handling of antenna array design challenges, particularly in the context of design optimization and statistical analysis, thereby benefiting a wide spectrum of stakeholders in the field.
\n Weight: 860g\n
Dimension: 159 x 236 x 36 (mm)\n
ISBN-13: 9781786345981\n \n
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