Design of Aperiodic Subarrayed Phased Arrays With Structural Repetitiveness

Mou, Lun Wei; Cheng, Yu Jian

doi:10.1109/tap.2022.3209709

Cited by 15 publications

(1 citation statement)

References 44 publications

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“…In recent years, examples of EAs applied to the automated design of antennas include (but are not limited to) the use of invasive weed optimization (IWO) and ant colony optimization (ACO) to the design of aperiodic subarrayed phased arrays and millimeter wave (mmWave) microstrip antennas, respectively [13], [14]. For both problems, IWO and ACO generated acceptable design solutions with better performance than the reference designs.…”

Section: A Evolutionary Algorithmsmentioning

confidence: 99%

Automated Design of Antennas Using AI Techniques: A Review of Contemporary Methods and Applications

Akinsolu,

Hua,

Liu

2024

2024 18th European Conference on Antennas and Propagation (EuCAP)

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The automated design of antennas made possible through the use of artificial intelligence (AI) techniques is attracting much attention. This development can be mainly attributed to the reduced design time and the higher quality of design solutions that AI-driven antenna optimization methods provide in comparison to their more traditional counterparts. Due to the growing need to fulfill more stringent design specifications and functional requirements for both present-day and future wireless communication systems, the design and development of antennas and antenna systems have increased both in scope and complexity, such that conventional methodologies are often not fit for an efficient practical implementation. In this paper, a brief overview of some of the latest AI-based techniques for the design and optimization of contemporary antennas is provided with the goal of providing information on recent research to researchers in this growing area of interest.

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Section: A Evolutionary Algorithmsmentioning

confidence: 99%