Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems
M Abdel-Basset, R Mohamed, M Jameel… - Knowledge-Based …, 2023 - Elsevier
This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Red fox optimization algorithm
D Połap, M Woźniak - Expert Systems with Applications, 2021 - Elsevier
Fox is very popular in various regions of the Globe, where representatives of this kind can be
found in Europe, Asia, North America, and even in some arctic regions. The way this …
found in Europe, Asia, North America, and even in some arctic regions. The way this …
A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …
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 …
A survey of performance enhancement techniques of antipodal Vivaldi antenna
The increasing proliferation of advanced devices for UWB, 5G communication, micrometer-
wave, and millimeter-wave communication demands an antenna which can handle huge …
wave, and millimeter-wave communication demands an antenna which can handle huge …
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 …
A fern antipodal vivaldi antenna for near-field microwave imaging medical applications
This investigation presents an oval slot edge (OSE) antipodal Vivaldi antenna (AVA),
hereinafter referred to as Fern AVA (FAVA), with an optimized radiation pattern. The use of …
hereinafter referred to as Fern AVA (FAVA), with an optimized radiation pattern. The use of …
A palm tree antipodal Vivaldi antenna with exponential slot edge for improved radiation pattern
This letter presents an Exponential Slot Edge Antipodal Vivaldi Antenna (ESE-AVA), with
improved radiative features as compared to the conventional Antipodal Vivaldi Antenna …
improved radiative features as compared to the conventional Antipodal Vivaldi Antenna …
Multiparameter modeling with ANN for antenna design
LY **ao, W Shao, FL **… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this communication, a novel artificial neural network (ANN) model is proposed to describe
the antenna performance with various parameters. In this model, three parallel and …
the antenna performance with various parameters. In this model, three parallel and …
A learning-based dipole yagi-uda antenna and phased array antenna for mmwave precoding and v2v communication in 5g systems
In this article, a compact, wideband Yagi-Uda antenna and its phased array antenna is
optimized by a multi-objective antenna for the millimeter-wave (mmWave) band of fifth …
optimized by a multi-objective antenna for the millimeter-wave (mmWave) band of fifth …