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 …
Evolutionary computation for expensive optimization: A survey
Expensive optimization problem (EOP) widely exists in various significant real-world
applications. However, EOP requires expensive or even unaffordable costs for evaluating …
applications. However, EOP requires expensive or even unaffordable costs for evaluating …
A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems
Surrogate-assisted evolutionary algorithms (EAs) have been intensively used to solve
computationally expensive problems with some success. However, traditional EAs are not …
computationally expensive problems with some success. However, traditional EAs are not …
Solving optimization problems of metamaterial and double T-shape antennas using advanced meta-heuristics algorithms
This study offers an adaptive dynamic sine cosine fitness grey wolf optimizer (ADSCFGWO)
for optimizing the parameters of two types of antennas. The two types of antennas are …
for optimizing the parameters of two types of antennas. The two types of antennas are …
Dual-polarized highly folded bowtie antenna with slotted self-grounded structure for sub-6 GHz 5G applications
M Alibakhshikenari, BS Virdee, CH See… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In this communication, a novel dual-polarized highly folded self-grounded Bowtie antenna
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
Matrix-based evolutionary computation
Computational intelligence (CI), including artificial neural network, fuzzy logic, and
evolutionary computation (EC), has rapidly developed nowadays. Especially, EC is a kind of …
evolutionary computation (EC), has rapidly developed nowadays. Especially, EC is a kind of …
A bi-population cooperative optimization algorithm assisted by an autoencoder for medium-scale expensive problems
This study presents an autoencoder-embedded optimization (AEO) algorithm which involves
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …
An efficient analog circuit sizing method based on machine learning assisted global optimization
Machine learning-assisted global optimization methods for speeding up analog integrated
circuit sizing is attracting much attention. However, often a few typical analog integrated …
circuit sizing is attracting much attention. However, often a few typical analog integrated …
Distributed and expensive evolutionary constrained optimization with on-demand evaluation
Expensive optimization problems (EOPs) are common in industry and surrogate-assisted
evolutionary algorithms (SAEAs) have been developed for solving them. However, many …
evolutionary algorithms (SAEAs) have been developed for solving them. However, many …