Results 31 to 40 of about 30,520 (198)
Global path planning for multiple AUVs using GWO
Summary: In global path planning (GPP), an autonomous underwater vehicle (AUV) tracks a predefined path. The main objective of GPP is to generate a collision free sub-optimal path with minimum path cost. The path is defined as a set of segments, passing through selected nodes known as waypoints.
Madhusmita, Panda +2 more
openaire +1 more source
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
core +1 more source
Performance Assessment of Metaheuristic Algorithms: Firefly, Grey Wolf, and Moth Flame in Coal Pyrolysis Kinetic Parameter Estimation [PDF]
This study investigates the effectiveness of the Firefly Optimizer (FFA), Grey Wolf Optimizer (GWO), and Moth Flame Optimizer (MFO) metaheuristic algorithms in estimating the kinetic parameters of a single-step coal pyrolysis model.
Vishnu Uppalakkal +2 more
doaj +1 more source
Applying Distribution Functions to GWO Algorithm
GWO is an Optimization algorithm. It depends on the different distribution functions. The features of Optimization algorithm are as follows Convergence, precision, and performance. These Characters will generalize this optimization algorithm. In this paper, we explored GWO algorithm for different distributing functions.
Dr G. Krishna Mohan +3 more
openaire +2 more sources
Grey wolf optimizer (GWO) for automated offshore crane design [PDF]
In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more ...
Hameed, Ibrahim +2 more
openaire +2 more sources
New Hybrid Algorithms for Prediction of Daily Load of Power Network
Two new hybrid algorithms are proposed to improve the performances of the meta-heuristic optimization algorithms, namely the Grey Wolf Optimizer (GWO) and Shuffled Frog Leaping Algorithm (SFLA). Firstly, it advances the hierarchy and position updating of
Pei Hu +5 more
doaj +1 more source
General computational approach for optimal fault detection [PDF]
We propose a new computational approach to solve the optimal fault detection problem in the most general setting. The proposed procedure is free of any technical assumptions and is applicable to both proper and non-proper systems.
Varga, Andreas
core +1 more source
COVID-19 Pandemic Prediction Using Hyper-Parameter-Tuned ANN, Bi-LSTM, and Stacked-LSTM in Türkiye
COVID-19 first appeared in China in December 2019. In Türkiye, the first case was seen on March 11, 2020. Since the emergence of COVID-19, it has rapidly affected the world and caused the death of many people.
Serpil Özer +2 more
doaj +1 more source
GWO in Interesting Times: Joint Editorial
This editorial explores our contemporary “interesting times,” marked by intensifying global crises—deepening inequalities, conflicts in regions like Gaza and Sudan, and an escalating climate emergency—that expose systemic flaws in political, economic, and social structures.
Bettina Bastian +19 more
openaire +4 more sources
Gravitation Physics at BGPL [PDF]
We report progress on a program of gravitational physics experiments using cryogenic torsion pendula undergoing large-amplitude torsion oscillation. This program includes tests of the gravitational inverse square law and of the weak equivalence principle.
A.M. Kalet +20 more
core +3 more sources

