Snake Optimizer: A novel meta-heuristic optimization algorithm
FA Hashim, AG Hussien - Knowledge-Based Systems, 2022 - Elsevier
In recent years, several metaheuristic algorithms have been introduced in engineering and
scientific fields to address real-life optimization problems. In this study, a novel nature …
scientific fields to address real-life optimization problems. In this study, a novel nature …
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
N Chopra, MM Ansari - Expert Systems with Applications, 2022 - Elsevier
A new nature-inspired optimization method, named the Golden Jackal Optimization (GJO)
algorithm is proposed, which aims to provide an alternative optimization method for solving …
algorithm is proposed, which aims to provide an alternative optimization method for solving …
Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
W Zhao, Z Zhang, L Wang - Engineering Applications of Artificial …, 2020 - Elsevier
A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …
Reconfigurable electromagnetics through metamaterials—A review
The introduction of electromagnetic (EM) media with unique field manipulation properties,
collectively labelled as metamaterials, has boosted the interest toward the design, the …
collectively labelled as metamaterials, has boosted the interest toward the design, the …
Learning-by-examples techniques as applied to electromagnetics
There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …
time response or in which the input–output relationship is not a-priori known or cannot be …
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
W Zhao, L Wang, Z Zhang - Knowledge-Based Systems, 2019 - Elsevier
In recent years, various metaheuristic optimization methods have been proposed in scientific
and engineering fields. In this study, a novel physics-inspired metaheuristic optimization …
and engineering fields. In this study, a novel physics-inspired metaheuristic optimization …
DeepNIS: Deep neural network for nonlinear electromagnetic inverse scattering
L Li, LG Wang, FL Teixeira, C Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Nonlinear electromagnetic (EM) inverse scattering is a quantitative and super-resolution
imaging technique, in which more realistic interactions between the internal structure of …
imaging technique, in which more realistic interactions between the internal structure of …
Review of numerical optimization techniques for meta-device design
Optimization techniques have been indispensable for designing high-performance meta-
devices targeted to a wide range of applications. In fact, today optimization is no longer an …
devices targeted to a wide range of applications. In fact, today optimization is no longer an …
A novel atom search optimization for dispersion coefficient estimation in groundwater
W Zhao, L Wang, Z Zhang - Future Generation Computer Systems, 2019 - Elsevier
A new type of meta-heuristic global optimization methodology based on atom dynamics is
introduced. The proposed Atom Search Optimization (ASO) approach is a population-based …
introduced. The proposed Atom Search Optimization (ASO) approach is a population-based …
COVIDOA: a novel evolutionary optimization algorithm based on coronavirus disease replication lifecycle
This paper presents a novel bio-inspired optimization algorithm called Coronavirus
Optimization Algorithm (COVIDOA). COVIDOA is an evolutionary search strategy that mimics …
Optimization Algorithm (COVIDOA). COVIDOA is an evolutionary search strategy that mimics …