Application of grey wolf optimization algorithm: recent trends, issues, and possible horizons
The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the
biological behaviours of swarm of wolves hunting for prey. This paper presents recent …
biological behaviours of swarm of wolves hunting for prey. This paper presents recent …
[PDF][PDF] Grey wolf optimizer: Overview, modifications and applications
A metaheuristic is a collection of algorithmic frameworks inspired by nature designed to
provide the fittest nearoptimal solution for optimization problems (Marqas et al., 2020) …
provide the fittest nearoptimal solution for optimization problems (Marqas et al., 2020) …
Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system
M Elsisi - Artificial intelligence review, 2022 - Springer
The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …
settling time, and overshoot is the main challenge against the steering angle control of …
Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO
A system combining ultrasound and infrared radiation was used to increase the chemical
reactions between incompressible reactants by enhancing their mass transfers with the aim …
reactions between incompressible reactants by enhancing their mass transfers with the aim …
An adaptively balanced grey wolf optimization algorithm for feature selection on high-dimensional classification
J Wang, D Lin, Y Zhang, S Huang - Engineering Applications of Artificial …, 2022 - Elsevier
Feature selection, which aims to screen out redundant and irrelevant features from datasets,
is integral to machine learning and data mining. Grey Wolf Optimization (GWO) is a recent …
is integral to machine learning and data mining. Grey Wolf Optimization (GWO) is a recent …
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Reliable and accurate brain tumor segmentation is a challenging task even with the
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …
Quantitative stability analysis of complex nonlinear hydraulic turbine regulation system based on accurate calculation
J Chen, Y Zheng, D Liu, Y Du, Z ** the world in recent years, UAVs is widely
used in various fields. UAV path planning has attracted much attention from scientists as an …
used in various fields. UAV path planning has attracted much attention from scientists as an …