Results 61 to 70 of about 6,856 (176)
Link and Loss Aware GW-COOP Routing Protocol for FANETs
The dynamic network topology of Flying Ad hoc Networks (FANETs) leads to challenges during communications. This becomes complicated when dealing with multiple transmission paths and relays.
Shahzad Hameed +8 more
doaj +1 more source
Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific. It has attracted attention with the increase in complexity of structures that can be realized with nowadays nano-fabrication ...
Burger, Sven +5 more
core +1 more source
PM2.5 is one of the main factors of air pollution, so the prediction of PM2.5 is of great significance. For this reason, the innovation priority discrete nonlinear gray model based on gray wolf optimization algorithm is established, which is based on the innovation priority principle in the gray system principle.
Liao Hongming, Zhang Lanxi
openaire +1 more source
Utilizing Gray Wolf Optimization Algorithm in Malware Forensic Investigation
Malware forensic investigation plays a critical role in cybersecurity, aiming to unveil malicious activities, decipher their tactics, and bolster defense mechanisms. This article introduces an innovative approach to malware forensic investigation, harnessing the capabilities of the Gray Wolf Optimization (GWO) algorithm in conjunction with a range of ...
Mosleh Mohammd Abualhaj +4 more
openaire +1 more source
Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm
Abstract High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
openaire +3 more sources
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields.
Azevedo, Vinicius C. +5 more
core +1 more source
Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO)
Evolutionary algorithms suffer significantly from a stack at the local optima. This paper proposes a new strategy that detects when the search gets stuck in a local optimum and then switches to a more dynamic approach to escape.
Lec. Ali Hakem Alsaeedi +3 more
doaj +1 more source
The optimal scheduling problem of integrated energy system (IES) has the characteristics of high-dimensional nonlinearity. Using the traditional Grey Wolf Optimizer (GWO) to solve the problem, it is easy to fall into a local optimum in the process of ...
Jun Du +4 more
doaj +1 more source
The study presents a novel hybrid gray wolf and whale optimization algorithm (hGWOAM) for the capacitated vehicle routing problem (CVRP). By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament ...
Vu Hong Son Pham +2 more
doaj +1 more source
This paper shows that lithium-ion battery model parameters are vital for state-of-health assessment and performance optimization. Traditional evolutionary algorithms often fail to balance global and local search.
Wuke Li +5 more
doaj +1 more source

