Simulation-Based Optimization Of Antenna Arrays

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.

• | Author: Slawomir Koziel, Stanislav Ogurtsov
• | Publisher: Wspc (Europe)
• | Publication Date: Feb 28, 2019
• | Number of Pages: 496 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 1786345986
• | ISBN-13: 9781786345981