This paper presents a focused and comprehensive literature survey on the use of machine
learning (ML) in antenna design and optimization. An overview of the conventional …

This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

With the rapid development of modern wireless communications and radar, antennas and
arrays are becoming more complex, therein having, eg, more degrees of design freedom …

Numerous software packages exist for solving antenna design optimization problems, with
many of these employing a variety of approaches, leading, in turn, to variations in …

With the growth and wide variety of available data, advanced processing, and affordable
data storage, machine learning is witnessing great attention in finding optimized solutions in …

Effective machine learning methods are usually trained by large data sets to guarantee
accuracy and avoid overfitting. However, large data sets restrict the popularization of the …

The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …

An artificial neural network (ANN) is proposed to predict the input impedance of a
broadband antenna as a function of its geometric parameters. The input resistance of the …

A multistage collaborative machine learning (MS-CoML) method that can be applied to
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …

In recent years, various methods from the evolutionary computation (EC) field have been
applied to electromagnetic (EM) design problems and have shown promising results …