Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
Recent advances in accelerated multi-objective design of high-frequency structures using knowledge-based constrained modeling approach
Abstract Design automation, including reliable optimization of engineering systems, is of
paramount importance for both academia and industry. This includes the design of high …
paramount importance for both academia and industry. This includes the design of high …
Multistage collaborative machine learning and its application to antenna modeling and optimization
A multistage collaborative machine learning (MS-CoML) method that can be applied to
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …
Advanced RF and microwave design optimization: A journey and a vision of future trends
In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …
and envisage imminent and future challenges that will be addressed by the next generation …
Expedited feature-based quasi-global optimization of multi-band antenna input characteristics with jacobian variability tracking
Design of modern antennas relies-for reliability reasons-on full-wave electromagnetic
simulation tools. In addition, increasingly stringent specifications pertaining to electrical and …
simulation tools. In addition, increasingly stringent specifications pertaining to electrical and …
Expedited design closure of antennas by means of trust-region-based adaptive response scaling
In this letter, a reliable procedure for the expedited design optimization of antenna structures
by means of trust-region adaptive response scaling (TR-ARS) is proposed. The presented …
by means of trust-region adaptive response scaling (TR-ARS) is proposed. The presented …
Constrained multi-objective optimization of compact microwave circuits by design triangulation and pareto front interpolation
Abstract Development of microwave components is an inherently multi-objective task. This is
especially pertinent to the design closure stage, ie, final adjustment of geometry and/or …
especially pertinent to the design closure stage, ie, final adjustment of geometry and/or …
Review of meta-heuristic optimization based artificial neural networks and its applications
D Devikanniga, K Vetrivel… - Journal of Physics …, 2019 - iopscience.iop.org
There are several meta-heuristic optimization algorithms developed on inspiration from
nature. Artificial neural network proves to be efficient among other machine learning …
nature. Artificial neural network proves to be efficient among other machine learning …
On nature-inspired design optimization of antenna structures using variable-resolution EM models
Numerical optimization has been ubiquitous in antenna design for over a decade or so. It is
indispensable in handling of multiple geometry/material parameters, performance goals …
indispensable in handling of multiple geometry/material parameters, performance goals …
Reduced‐cost electromagnetic‐driven optimisation of antenna structures by means oftrust‐region gradient‐search with sparse Jacobian updates
Numerical optimisation plays more and more important role in the antenna design. Because
of lack of design‐ready theoretical models, electromagnetic (EM)‐simulation‐driven …
of lack of design‐ready theoretical models, electromagnetic (EM)‐simulation‐driven …