Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
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 …
Machine learning-assisted antenna design optimization: A review and the state-of-the-art
Antenna design optimization continues to attract a lot of interest. This is mainly because
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
An intelligent antenna synthesis method based on machine learning
D Shi, C Lian, K Cui, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An intelligent antenna synthesis method is proposed to automatically select suitable
antenna type and provide optimal geometric parameters according to the requirement of …
antenna type and provide optimal geometric parameters according to the requirement of …
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 …
[图书][B] Performance-driven surrogate modeling of high-frequency structures
S Koziel, A Pietrenko-Dabrowska - 2020 - books.google.com
This book discusses surrogate modeling of high-frequency structures including antenna and
microwave components. The focus is on constrained or performance-driven surrogates. The …
microwave components. The focus is on constrained or performance-driven surrogates. The …
Accurate modeling of antenna structures by means of domain confinement and pyramidal deep neural networks
The importance of surrogate modeling techniques has been gradually increasing in the
design of antenna structures over the recent years. Perhaps the most important reason is a …
design of antenna structures over the recent years. Perhaps the most important reason is a …
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 yield optimization of narrow-and multi-band antennas using performance-driven surrogates
Uncertainty quantification is an important aspect of engineering design, also pertaining to
the development and performance evaluation of antenna systems. Manufacturing tolerances …
the development and performance evaluation of antenna systems. Manufacturing tolerances …
Antenna optimization using machine learning with reduced-dimensionality surrogates
In modern times, antenna design has become more demanding than ever. The escalating
requirements for performance and functionality drive the development of intricately …
requirements for performance and functionality drive the development of intricately …