Results 191 to 200 of about 3,322,155 (235)

CRGWO-DWA: A structured global-local collaborative planning framework for smooth UAV navigation in dynamic environments. [PDF]

Sci Rep
He Y, Gao Q, Huang Q, Huang B.
europepmc   +1 more source

Task offloading and resource allocation for cooperative communication and sensing in edge computing for mine. [PDF]

Sci Rep
Zheng W, Yang Q, Chen K, Li S, Xia Y, Guo K.   +5 more
europepmc   +1 more source

Grey wolf optimized neural network with hybrid feature extraction for heart disease prediction. [PDF]

Sci Rep
Al-Shammari SA, Mohamed ASA, Hadi AA, Mohammed AA, Ashour LS, Al-Karkhi OJ, Honi DG, Szathmary L.   +7 more
europepmc   +1 more source

An interpretable IGWO-MKRVM model for predicting excavation damaged zone thickness of drift. [PDF]

Sci Rep
Yang R, Zhang G, Ye Y, Wan M.
europepmc   +1 more source

Brain distortion and cerebrospinal fluid shifts in spontaneous intracranial hypotension. [PDF]

Fluids Barriers CNS
El Rahal A, Beck J, Wolf K, Volz F, Overstijns M, Lützen N, Zander C, Urbach H, Scheffler P.   +8 more
europepmc   +1 more source

Improved Grey Wolf Optimization Algorithm and Application

Sensors, 2022
This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots.
Huanbing Gao
exaly   +5 more sources

A new modified grey wolf optimization algorithm proposal for a fundamental engineering problem in robotics

Neural Computing and Applications, 2021
In this study, the solution of inverse kinematics, which is the most fundamental problem in the field of robotics, is handled with the grey wolf optimization algorithm.
Serkan Dereli
exaly   +2 more sources

An improved grey wolf optimizer for solving engineering problems

Expert Systems With Applications, 2021
In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global optimization and engineering design problems. This improvement is proposed to alleviate the lack of population diversity, the imbalance between the exploitation and ...
Mohammad H Nadimi-Shahraki, Seyedali Mirjalili, Shokooh Taghian   +2 more
exaly   +2 more sources

A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

Expert Systems With Applications, 2020
Because of their high dimensionality, dealing with large datasets can hinder the data mining process. Thus, the feature selection is a pre-process mandatory phase for reducing the dimensionality of datasets through using the most informative features and
Doaa El-Shahat, Seyedali Mirjalili, Mohamed Abdel-Basset   +2 more
exaly   +2 more sources