Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

A review of evolutionary algorithms (EAs) with applications to antenna and propagation
problems is presented. EAs have emerged as viable candidates for global optimization …

In this paper we describe a method for optimizing frequency reconfigurable pixel antennas.
The method utilizes a multi-objective function that is efficiently computed by using only one …

Machine-learning (ML)-assisted antenna-array design methods suffer from a heavy
computational burden. In this article, a knowledge-guided active-base-element-modeling …

An innovative methodology for the design of modular and contiguously-clustered linear
arrays is proposed. The approach formulates the subarraying problem as a pattern matching …

An innovative meta-paradigm is introduced to design unconventional capacity-driven
antenna architectures for future multiuser communications. Toward this end, the problem of …

Thousands of real function evaluations are not burdensome when a surrogate-assisted
evolutionary algorithm (SAEA) is used to solve expensive multi-objective optimization …

Collaborative beamforming is usually characterized by high, asymmetrical sidelobe levels
due to the randomness of node locations. Previous works have shown that the optimization …

Array synthesis under practical constraints is a vital design task. Traditional array synthesis
methods usually deal with isolated antenna elements without considering mutual coupling …

Abstract Design automation, including reliable optimization of engineering systems, is of
paramount importance for both academia and industry. This includes the design of high …