【2019】基于仿真的天线阵优化Simulation Based Optimization Of Antenna Arrays，共494页。

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本书论述了天线阵列的辅助设计，特别是如何利用数据驱动和基于物理的代理模型来加速诸如参数优化、设计终止、统计分析或故障检测等过程。

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. 

算法和设计框架是通过大量的例子来说明的，包括现实世界的印刷电路天线和天线阵列结构。

Algorithms and design frameworks are illustrated using a large variety of examples including real-world printed-circuit antenna and antenna array structures.

本书包含了有关数值优化的介绍性材料，包括传统的（基于梯度和无导数的，包括元启发式）和基于代理的，以及为处理天线阵问题而专门开发的大量定制程序。

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. 

还提出了代理辅助多目标天线优化的实践方面的建议。

Recommendations concerning practical aspects of surrogate-assisted multi-objective antenna optimization are also given. 

提出的方法允许在设计优化和统计分析的背景下处理天线阵设计问题（涉及CPU密集型电磁模型），这将有利于研究人员、设计师和研究生的学习。

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.

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