Results 31 to 40 of about 71,855 (286)
A new K-means grey wolf algorithm for engineering problems [PDF]
Purpose This paper aims at studying meta-heuristic algorithms. One of the common meta-heuristic optimization algorithms is called grey wolf optimization (GWO). The key aim is to enhance the limitations of the wolves’ searching process of attacking gray wolves. Design/
Mohammed, Hardi M. +4 more
openaire +3 more sources
Molecular Dynamics of Comminution in Ball Mills [PDF]
We investigate autogenous fragmentation of dry granular material in rotating cylinders using two-dimensional molecular dynamics. By evaluation of spatial force distributions achieved numerically for various rotation velocities we argue that comminution ...
Buchholtz, Volkhard +2 more
core +5 more sources
JPEG steganography with particle swarm optimization accelerated by AVX [PDF]
Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B +7 more
core +1 more source
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
wiley +1 more source
A Modified Grey Wolf Algorithm with Applications to Engineering [PDF]
In this contribution, a modified gray wolf algorithm for use in engineering applications is presented. The grey wolf algorithm is one of the meta-heuristic optimization methods that has recently been widely used by researchers due to its good ...
Vahid Mahboub
doaj +1 more source
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Path Planning For A Mobile Robot Using The Chessboard Method And Gray Wolf Optimization Algorithm In Static And Dynamic Environments [PDF]
The Grey Wolf Optimization (GWO) algorithm, a computational optimization method inspired by the social behavior of wolves, has recently been effectively used to solve optimization and routing problems.
Ali Hatami Zadeh +2 more
doaj +1 more source
Spatially resolved mid-infrared observations of the triple system T Tauri [PDF]
To enhance our knowledge of the characteristics and distribution of the circumstellar dust associated with the individual components of the young hierarchical triple system T Tau, observations in the N-band with MIDI at the VLTI were performed. Our study
A. A. Schegerer +81 more
core +1 more source
Grey Wolf Algorithm for Requirements Prioritization
Requirement prioritization is one of the most important approach in the process of requirement engineering due to use it in order to prioritize the execution sort of requirements with taking into account the viewpoints of stakeholders. Thus, in this study, grey wolf optimization (GWO) algorithm is applied in order to prioritize the requirements of a ...
Raja Masadeh +2 more
openaire +2 more sources
Threshold Binary Grey Wolf Optimizer Based on Multi-Elite Interaction for Feature Selection
The traditional grey wolf algorithm is widely used for feature selection. However, within complex feature multi-dimensional problems, the grey wolf algorithm is prone to reach locally optimal solutions and premature convergence.
Hongzhuo Wu +5 more
doaj +1 more source

