A thorough and insightful introduction to using genetic algorithms to optimize
electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the …

Programmable metasurfaces have recently been proposed to dynamically manipulate
electromagnetic (EM) waves in both temporal and spatial dimensions. With active …

A design problem of non-uniform circular antenna arrays for maximal side lobe level
reduction with the constraint of a fixed beam width is dealt with. This problem is modeled as …

In this paper, we describe an electromagnetic genetic algorithm (GA) optimization (EGO)
application developed for the cluster supercomputing platform. A representative patch …

A novel algorithm on beam pattern synthesis for linear aperiodic arrays with arbitrary
geometrical configuration is presented in this paper. Linear aperiodic arrays are attractive for …

Synthesis of unequally spaced linear antenna arrays is considered in this paper. A recently
developed new differential evolution algorithm is applied to solve the problem. Both position …

In this article, a deep neural network (DNN)-based machine learning (ML) approach is
presented to synthesize linear sparse arrays (LSAs). Due to the powerful fitting capability of …

In this work, we investigate the feasibility of applying deep learning to phase synthesis of
reflectarray antenna. A deep convolutional neural network (ConvNet) based on the …

A sparse linear array, composed of a uniformly spaced core subarray and an extended
sparse subarray, is synthesized using a harmony search (HS) and an exploratory harmony …

A new class of analytical rectangular thinned arrays with low peak sidelobe level (PSL) is
introduced. The proposed synthesis technique exploits binary sequences derived from …