Simulation-based Optimization Of Antenna Arrays

Slawomir Koziel; Stanislav Ogurtsov

ISBN 10: 1786345986 / ISBN 13: 9781786345981

Published by World Scientific Europe Ltd, 2019

About this Item

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.

Seller Inventory # LU-9781786345981

Bibliographic Details

• Title: Simulation-based Optimization Of Antenna Arrays
• Publisher: World Scientific Europe Ltd
• Publication Date: 2019
• Language: English
• ISBN 10: 1786345986
• ISBN 13: 9781786345981
• Binding: Hardback
• Condition: New

About this title

Synopsis

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.

Readership: Primary readership: antenna engineering and microwave engineering (graduate students, researchers, and designers); Secondary readership: electrical engineering, mechanical engineering (graduate students, researchers, designers).