Moth–flame optimization algorithm: variants and applications
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …
Review of non-invasive continuous glucose monitoring based on impedance spectroscopy
The incidence of diabetes is increasing at an alarming rate worldwide, and glucose
monitoring is critical to diabetes management. Non-invasive continuous blood glucose …
monitoring is critical to diabetes management. Non-invasive continuous blood glucose …
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …
type mining method, which directly affects whether workers can be provided with a safe and …
Enhanced a hybrid moth-flame optimization algorithm using new selection schemes
This paper presents two levels of enhancing the basic Moth flame optimization (MFO)
algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC) …
algorithm. The first step is hybridizing MFO and the local-based algorithm, hill climbing (HC) …
A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation
This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
Chaotic whale optimizer variants for parameters estimation of the chaotic behavior in Permanent Magnet Synchronous Motor
Abstract Permanent Magnet Synchronous Motor (PMSM) is widely used in the industrial
applications because of its simple construction and its high efficiency. Unfortunately, if a …
applications because of its simple construction and its high efficiency. Unfortunately, if a …
Discrete fractional-order Caputo method to overcome trap** in local optima: Manta Ray Foraging Optimizer as a case study
Enhancing the exploration and exploitation phases of the metaheuristic (MH) optimization
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
FPGA implementation of sound encryption system based on fractional-order chaotic systems
AJ Abd El-Maksoud, AA Abd El-Kader, BG Hassan… - Microelectronics …, 2019 - Elsevier
This paper introduces design and FPGA implementation of sound encryption system based
on a fractional-order chaotic system. Also, it presents the FPGA implementation of Tang …
on a fractional-order chaotic system. Also, it presents the FPGA implementation of Tang …
[HTML][HTML] Cole-impedance parameters representing biceps tissue bioimpedance in healthy adults and their alterations following eccentric exercise
The purpose of this study is to identify if participation in an eccentric exercise protocol
altered the Cole-impedance model parameters that represent localized bicep tissue …
altered the Cole-impedance model parameters that represent localized bicep tissue …
Mesh router nodes placement for wireless mesh networks based on an enhanced moth–flame optimization algorithm
This paper proposes an enhanced version of Moth Flame Optimization (MFO) algorithm,
called Enhanced Chaotic Lévy Opposition-based MFO (ECLO-MFO) for solving the mesh …
called Enhanced Chaotic Lévy Opposition-based MFO (ECLO-MFO) for solving the mesh …