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

Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

In this letter, a machine-learning-assisted antenna optimization method is proposed based
on the random forest (RF) algorithm with data augmentation (DA). Using only a small …

Surrogate-assisted evolutionary algorithms for expensive optimization problems have
gained considerable attention in recent years. In many real-world optimization problems, we …

The computational analysis of real-world engineering problems often relies on time-
consuming simulation calculations. This presents challenges in balancing computational …

Among the many different types of cancer, bone cancer is the most lethal and least
prevalent. More cases are reported each year. Early diagnosis of bone cancer is crucial …

Antenna design is a kind of electromagnetic (EM) engineering problem and normally
formulated as complex nonlinear optimization problem. Evolutionary computation (EC) was …

Deep-learning-assisted antenna design methods such as surrogate models have gained
significant popularity in recent years due to their potential to greatly increase design …

A characteristic mode (CM)-guided trust-region-based optimization technique for dual-band
metantenna design is proposed. The technique automatically manipulates the CMs of a …

An adjoint-based shape optimization approach for the inverse design of microwave
components is proposed. The proposed approach is a pure postprocessing process that …